diff --git a/_targets.R b/_targets.R
index 4a72c5d2..2f77ddd4 100644
--- a/_targets.R
+++ b/_targets.R
@@ -250,7 +250,7 @@ list(
   ),
 
 
-  ## Fit the model ------------------------------------------------------------
+  # # Fit the model ------------------------------------------------------------
   # # get a stacked long dataframe containing the quantiles(estimated
   # # from all draws) and 100 samples of the draws from the posterior for the
   # # generated quantities and the parameters
@@ -285,7 +285,7 @@ list(
     name = plot_single_location_hosp_draws_id,
     command = get_plot_draws(grouped_df_id,
       "pred_hosp",
-      figure_file_path,
+      figure_output_subdirectory,
       show_calibration_data = FALSE
     ),
     pattern = map(grouped_df_id),
@@ -296,7 +296,7 @@ list(
     name = plot_single_location_comb_quantiles_id,
     command = get_combo_quantile_plot(
       grouped_df_id,
-      figure_file_path
+      figure_output_subdirectory
     ),
     pattern = map(grouped_df_id),
     iteration = "list",
@@ -306,7 +306,7 @@ list(
     name = plot_ww_site_level_quantiles_id,
     command = get_ww_site_plots(
       grouped_df_id,
-      figure_file_path
+      figure_output_subdirectory
     ),
     pattern = map(grouped_df_id),
     iteration = "list",
@@ -316,7 +316,7 @@ list(
     name = plot_single_location_ww_draws_id,
     command = get_plot_labsite_ww_draws(
       grouped_df_id,
-      figure_file_path
+      figure_output_subdirectory
     ),
     pattern = map(grouped_df_id),
     iteration = "list",
@@ -326,7 +326,7 @@ list(
     name = plot_rt_id,
     command = get_rt_from_draws(
       grouped_df_id,
-      figure_file_path
+      figure_output_subdirectory
     ),
     pattern = map(grouped_df_id),
     iteration = "list",
@@ -336,7 +336,7 @@ list(
     name = plot_rt_site_level,
     command = get_rt_site_level(
       grouped_df_id,
-      figure_file_path
+      figure_output_subdirectory
     ),
     pattern = map(grouped_df_id),
     iteration = "list",
@@ -346,7 +346,7 @@ list(
     name = plot_params_id,
     command = get_plot_param_distribs(
       grouped_df_id,
-      figure_file_path
+      figure_output_subdirectory
     ),
     pattern = map(grouped_df_id),
     iteration = "list",
@@ -365,8 +365,8 @@ list(
     deployment = "main"
   ),
   tar_target(
-    name = figure_file_path,
-    command = get_figure_file_path(
+    name = figure_output_subdirectory,
+    command = get_figure_output_subdirectory(
       output_dir_ho
     ),
     deployment = "main"
@@ -463,7 +463,7 @@ list(
     name = plot_single_location_hosp_draws_ho,
     command = get_plot_draws(grouped_df,
       "pred_hosp",
-      figure_file_path,
+      figure_output_subdirectory,
       show_calibration_data = FALSE
     ),
     pattern = map(grouped_df),
@@ -474,7 +474,7 @@ list(
     name = plot_rt_ho,
     command = get_rt_from_draws(
       grouped_df,
-      figure_file_path
+      figure_output_subdirectory
     ),
     pattern = map(grouped_df),
     iteration = "list",
@@ -484,7 +484,7 @@ list(
     name = plot_params_ho,
     command = get_plot_param_distribs(
       grouped_df,
-      figure_file_path
+      figure_output_subdirectory
     ),
     pattern = map(grouped_df),
     iteration = "list",
@@ -553,7 +553,10 @@ list(
   ),
   tar_target(
     name = single_plot_data_sa,
-    command = plot_combined_data(grouped_data_sa, figure_file_path),
+    command = plot_combined_data(
+      grouped_data_sa,
+      figure_output_subdirectory
+    ),
     pattern = map(grouped_data_sa),
     iteration = "list",
     deployment = "main"
@@ -607,7 +610,7 @@ list(
     name = plot_single_location_hosp_draws_sa,
     command = get_plot_draws(grouped_df_sa,
       "pred_hosp",
-      figure_file_path,
+      figure_output_subdirectory,
       show_calibration_data = FALSE
     ),
     pattern = map(grouped_df_sa),
@@ -618,7 +621,7 @@ list(
     name = plot_single_location_ww_draws_sa,
     command = get_plot_draws(df_of_filepaths_us,
       "pred_ww",
-      figure_file_path,
+      figure_output_subdirectory,
       show_calibration_data = FALSE
     ),
     deployment = "main"
@@ -627,7 +630,7 @@ list(
     name = plot_rt_sa,
     command = get_rt_from_draws(
       grouped_df_sa,
-      figure_file_path
+      figure_output_subdirectory
     ),
     pattern = map(grouped_df_sa),
     iteration = "list",
@@ -637,7 +640,7 @@ list(
     name = plot_params_sa,
     command = get_plot_param_distribs(
       grouped_df_sa,
-      figure_file_path
+      figure_output_subdirectory
     ),
     pattern = map(grouped_df_sa),
     iteration = "list",
@@ -647,7 +650,7 @@ list(
     name = plot_single_location_comb_quantiles_sa,
     command = get_combo_quantile_plot(
       df_of_filepaths_us,
-      figure_file_path
+      figure_output_subdirectory
     ),
     deployment = "main"
   ),
@@ -677,7 +680,7 @@ list(
       grouped_df_comb,
       "pred_hosp",
       grouping_var = "model_type",
-      figure_file_path,
+      figure_output_subdirectory,
       show_calibration_data = FALSE
     ),
     pattern = map(grouped_df_comb),
@@ -690,7 +693,10 @@ list(
       comb_df_filepaths %>%
         ungroup() %>%
         filter(model_type == "site-level infection dynamics"),
-      figure_file_path = file.path(figure_file_path, "combined_outputs")
+      figure_file_path = file.path(
+        figure_output_subdirectory,
+        "combined_outputs"
+      )
     ),
     deployment = "main"
   ),
@@ -700,13 +706,16 @@ list(
       comb_df_filepaths %>%
         ungroup() %>%
         filter(model_type == "hospital admissions only"),
-      figure_file_path = file.path(figure_file_path, "combined_outputs")
+      figure_file_path = file.path(
+        figure_output_subdirectory,
+        "combined_outputs"
+      )
     ),
     deployment = "main"
   ),
   tar_target(
-    name = pdf_file_path,
-    command = get_pdf_file_path(
+    name = pdf_output_subdirectory,
+    command = get_pdf_output_subdirectory(
       output_dir_id
     ),
     deployment = "main"
@@ -721,7 +730,10 @@ list(
             plot_ww_site_level_quantiles_id
         ),
         type_of_output = "site_level_inf_dynamics",
-        pdf_file_path = file.path(pdf_file_path, "internal"),
+        pdf_file_path = file.path(
+          pdf_output_subdirectory,
+          "internal"
+        ),
         model_name = config_vars_id$submitting_model_name,
         n_row = 1,
         n_col = 1,
@@ -740,7 +752,10 @@ list(
             plot_single_location_comb_quantiles_id
         ),
         type_of_output = "hosp_and_ww_forecasts_site_level_inf_dyn",
-        pdf_file_path = file.path(pdf_file_path, "internal"),
+        pdf_file_path = file.path(
+          pdf_output_subdirectory,
+          "internal"
+        ),
         model_name = config_vars_id$submitting_model_name,
         n_row = 3,
         n_col = 1,
@@ -755,7 +770,10 @@ list(
       save_to_pdf,
       c(list(list_of_plots = plot_mult_models),
         type_of_output = "forecasts_from_mult_model_types",
-        pdf_file_path = file.path(pdf_file_path, "internal"),
+        pdf_file_path = file.path(
+          pdf_output_subdirectory,
+          "internal"
+        ),
         model_name = config_vars_id$submitting_model_name,
         n_row = 3,
         n_col = 1,
@@ -823,34 +841,31 @@ list(
   ),
   tar_target(
     name = table_of_state_model_designations,
-    command = do.call(
-      get_summarized_table,
-      c(
-        list(
-          hub_submission_df = hub_submission_df,
-          full_diagnostics_df = full_diagnostics_df,
-          hosp_only_states = hosp_only_states,
-          repo_file_path = repo_file_path
-        ),
-        config_vars_id
-      )
+    command = get_location_notes_table(
+      full_diagnostics_df,
+      hosp_only_states,
+      output_dir = repo_file_path,
+      prod_run = config_vars_id$prod_run
     ),
     deployment = "main"
   ),
   tar_target(
     name = pipeline_ww_metadata,
-    command = do.call(get_metadata_yaml, c(
-      list(full_diagnostics_df = full_diagnostics_df),
-      repo_file_path = repo_file_path,
-      list(hosp_only_states = hosp_only_states),
-      config_vars_id
-    ))
+    command = get_metadata_yaml(
+      data_diagnostics_df = full_diagnostics_df,
+      hosp_only_states = hosp_only_states,
+      output_dir = repo_file_path,
+      prod_run = config_vars_id$prod_run
+    )
   ),
   tar_target(
     name = rt_box_plot_hub,
     command = get_rt_boxplot_across_states(
       df_of_filepaths,
-      figure_file_path = file.path(pdf_file_path, "internal")
+      figure_file_path = file.path(
+        pdf_output_subdirectory,
+        "internal"
+      )
     ),
     deployment = "main"
   ),
diff --git a/cfaforecastrenewalww/NAMESPACE b/cfaforecastrenewalww/NAMESPACE
index f1d8aace..c89805c6 100644
--- a/cfaforecastrenewalww/NAMESPACE
+++ b/cfaforecastrenewalww/NAMESPACE
@@ -23,7 +23,7 @@ export(get_config_vals)
 export(get_df_for_hub_submission)
 export(get_df_of_filepaths)
 export(get_diagnostics)
-export(get_figure_file_path)
+export(get_figure_output_subdirectory)
 export(get_full_param_distrib)
 export(get_gen_quants_draws)
 export(get_generated_quantities_draws)
@@ -35,6 +35,7 @@ export(get_ind_m)
 export(get_ind_m_cum_sum)
 export(get_init_fun)
 export(get_loc_model_map)
+export(get_location_notes_table)
 export(get_low_case_count_diagnostic)
 export(get_metadata)
 export(get_metadata_yaml)
@@ -47,7 +48,7 @@ export(get_param_samples_long_df)
 export(get_parameter_draws)
 export(get_params)
 export(get_pars)
-export(get_pdf_file_path)
+export(get_pdf_output_subdirectory)
 export(get_pipeline_metadata)
 export(get_plot_covidhub_submission)
 export(get_plot_draws)
@@ -55,6 +56,8 @@ export(get_plot_labsite_ww_draws)
 export(get_plot_metadata)
 export(get_plot_param_distribs)
 export(get_ppa_long)
+export(get_prior_pred_hosps_df)
+export(get_prior_pred_ww_df)
 export(get_quantiles)
 export(get_quantiles_on_site_level_ww)
 export(get_random_string)
@@ -73,7 +76,6 @@ export(get_state_level_hosp_data)
 export(get_state_level_summary)
 export(get_submission_file_path)
 export(get_submission_filepath_df)
-export(get_summarized_table)
 export(get_summary_stats)
 export(get_testing_data)
 export(get_training_data)
@@ -95,6 +97,7 @@ export(pivot_data_for_plotting)
 export(plot_combined_data)
 export(plot_quantiles)
 export(posterior_predictive_analysis)
+export(prior_predictive_check)
 export(pull_nhsn)
 export(read_diagnostics_df)
 export(save_timestamped_nwss_data)
diff --git a/cfaforecastrenewalww/R/get_config_vals.R b/cfaforecastrenewalww/R/get_config_vals.R
index 6841ab2f..8ad4cc9a 100644
--- a/cfaforecastrenewalww/R/get_config_vals.R
+++ b/cfaforecastrenewalww/R/get_config_vals.R
@@ -1,11 +1,10 @@
-#' Read in the config yaml
+#' Read in the config yaml and add run-specific
+#' dynamic configuration to it.
 #'
 #' @param path_to_config path the config yaml
 #'
-#' @return
+#' @return The configuration values, as a list
 #' @export
-#'
-#' @examples
 get_config_vals <- function(path_to_config) {
   config <- read_yaml(path_to_config)
   config$forecast_date <- lubridate::ymd(config$forecast_date)
@@ -17,232 +16,3 @@ get_config_vals <- function(path_to_config) {
 
   return(full_config)
 }
-
-
-#' Get the figure file path
-#'
-#' @param output_dir
-#'
-#' @return
-#' @export
-#'
-#' @examples
-get_figure_file_path <- function(output_dir) {
-  fp <- file.path(
-    output_dir, "figures"
-  )
-  return(fp)
-}
-
-#' get the cleaned pdf filepath
-#'
-#' @param output_dir
-#'
-#' @return
-#' @export
-#'
-#' @examples
-get_pdf_file_path <- function(output_dir) {
-  fp <- file.path(
-    output_dir,
-    "cleaned"
-  )
-  return(fp)
-}
-
-#' Get summarized table with each location and
-#'
-#' @param hub_submission_df
-#' @param full_diagnostics_df
-#' @param hosp_only_states
-#' @param repo_file_path
-#' @param prod_run
-#'
-#' @return
-#' @export
-#'
-#' @examples
-get_summarized_table <- function(hub_submission_df,
-                                 full_diagnostics_df,
-                                 hosp_only_states,
-                                 repo_file_path,
-                                 prod_run,
-                                 ...) {
-  diag_df_wide <- full_diagnostics_df %>%
-    dplyr::select(location, diagnostic, value) %>%
-    dplyr::filter(diagnostic %in% c(
-      "no_wastewater_data_flag",
-      "delayed_wastewater_data_flag",
-      "insufficient_ww_data_flag"
-    )) %>%
-    tidyr::pivot_wider(
-      id_cols = location,
-      names_from = diagnostic,
-      values_from = value
-    ) %>%
-    dplyr::mutate(
-      additional_notes =
-        ifelse(no_wastewater_data_flag == 1, "No wastewater data available",
-          dplyr::case_when(
-            insufficient_ww_data_flag == 1 ~ paste0(
-              "Wastewater data is too sparse, ",
-              "forecast not likely to be informed ",
-              "by wastewater"
-            ),
-            (delayed_wastewater_data_flag == 1) ~ paste0(
-              "Wastewater data is unavailable for recent ",
-              "time-points, forecast not likely to be ",
-              "informed by wastewater"
-            ),
-            location %in% c(hosp_only_states) ~ paste0(
-              "Hospital admissions only model was run ",
-              "due to either issues with input data or model"
-            ),
-            TRUE ~ "None"
-          )
-        )
-    ) %>%
-    dplyr::select(location, additional_notes)
-
-  if (isTRUE(prod_run)) {
-    create_dir(repo_file_path)
-    readr::write_tsv(
-      diag_df_wide,
-      file = fs::path(
-        repo_file_path,
-        glue::glue("wastewater_metadata_table.tsv")
-      )
-    )
-    cli::cli_inform("Writing forecast additional notes to repo ")
-  }
-
-
-
-  (diag_df_wide)
-}
-
-#' Get metadata to list all states with no wastewater or insufficient wastewater
-#' data
-#'
-#' @param full_diagnostics_df
-#' @param repo_file_path
-#' @param hosp_only_states
-#' @param prod_run
-#'
-#' @return
-#' @export
-#'
-#' @examples
-get_metadata_yaml <- function(full_diagnostics_df,
-                              repo_file_path,
-                              hosp_only_states,
-                              prod_run,
-                              ...) {
-  summary_list <- get_summary_stats(full_diagnostics_df)
-
-  metadata <- list(
-    "States without wastewaster data" =
-      ifelse(rlang::is_empty(summary_list$states_w_no_ww_data), "None",
-        list(summary_list$states_w_no_ww_data)
-      ),
-    "States with insufficient wastewater data" =
-      ifelse(rlang::is_empty(summary_list$states_to_flag_for_hub), "None",
-        list(summary_list$states_to_flag_for_hub)
-      ),
-    "States we chose to use hospital admissions only model on" =
-      ifelse(rlang::is_empty(hosp_only_states), "None", list(hosp_only_states))
-  )
-  if (isTRUE(prod_run)) {
-    create_dir(repo_file_path)
-    write_yaml(metadata, file = file.path(
-      repo_file_path,
-      glue::glue("metadata.yaml")
-    ))
-  }
-
-  return(metadata)
-}
-
-
-
-#' @title Write pipeline metadata to a YAML
-#' @param us_run US run?
-#' @param path_to_save_metadata
-#' @param run_id
-#' @param date_run
-#' @param ww_data_dir
-#' @param hosp_data_dir
-#' @param forecast_date
-#' @param prod_run
-#' @param model_type
-#' @param location
-#' @param output_dir
-#' @param root_dir root directory where pipeline is being run, used to make absolute filepaths
-#' @param ...
-#' @return the metadata
-#' @export
-get_pipeline_metadata <- function(us_run,
-                                  path_to_save_metadata,
-                                  run_id,
-                                  date_run,
-                                  ww_data_path, hosp_data_dir,
-                                  forecast_date,
-                                  prod_run,
-                                  model_type,
-                                  location,
-                                  output_dir,
-                                  root_dir,
-                                  ...) {
-  git_hash <- system("git log --pretty=format:'%h' -n 1", intern = TRUE)
-
-
-  prod <- ifelse(isTRUE(prod_run), "prod", "test")
-  if (isTRUE(us_run)) {
-    locations_run <- c(location, "US")
-  } else {
-    locations_run <- location
-  }
-
-  relative_hosp_path <- file.path(
-    hosp_data_dir,
-    glue::glue(
-      as.character(forecast_date),
-      ".csv"
-    )
-  )
-
-  if (prod_run == TRUE) {
-    full_file_path <- file.path(
-      path_to_save_metadata, "prod",
-      glue::glue("{forecast_date}-run-on-{date_run}")
-    )
-  } else {
-    full_file_path <- file.path(
-      path_to_save_metadata, "test",
-      glue::glue("{forecast_date}-run-on-{date_run}")
-    )
-  }
-  create_dir(full_file_path)
-
-  pipeline_metadata <- list(
-    git_hash = git_hash,
-    relative_output_path = output_dir,
-    relative_hosp_path = relative_hosp_path,
-    relative_ww_path = ww_data_path,
-    full_output_path = fs::path(root_dir, output_dir),
-    full_ww_path = fs::path(root_dir, ww_data_path),
-    full_hosp_path = fs::path(root_dir, relative_hosp_path),
-    date_run = date_run,
-    prod_run = prod_run,
-    run_id = run_id,
-    model_type = model_type,
-    locations_run = locations_run,
-    all_locs_run = length(locations_run) == 53
-  )
-
-  write_yaml(pipeline_metadata, file = file.path(
-    full_file_path,
-    glue::glue("{run_id}.yaml")
-  ))
-  return(pipeline_metadata)
-}
diff --git a/cfaforecastrenewalww/R/get_output_metadata.R b/cfaforecastrenewalww/R/get_output_metadata.R
new file mode 100644
index 00000000..03049a1a
--- /dev/null
+++ b/cfaforecastrenewalww/R/get_output_metadata.R
@@ -0,0 +1,227 @@
+#' Get a table that records notes on data characteristics
+#' and model choices for individual locations,
+#' e.g. the absence of recent wastewater observations or
+#' the decision to publish the hospital admissions only
+#' model
+#'
+#' @param full_diagnostics_df Data frame of data diagnostics
+#' by locations.
+#' @param hosp_only_states States for which we chose
+#' to use the hospitalization only model, as a vector
+#' with states coded identically to how they are in
+#' the `location` column of `full_diagnostics_df`
+#' @param output_dir Path to a directory in which to save
+#' the metadata table. Only used if `prod_run = TRUE`.
+#' Default `NULL`.
+#' @param prod_run Is this a run for publication /
+#' production? If so, the output will be saved in an
+#' appropriate location as a .tsv. Boolean, default `FALSE`
+#'
+#' @return The table of information as a [tibble::tibble()].
+#' @export
+get_location_notes_table <- function(full_diagnostics_df,
+                                     hosp_only_states,
+                                     output_dir = NULL,
+                                     prod_run = FALSE) {
+  metadata_df <- full_diagnostics_df %>%
+    dplyr::select(location, diagnostic, value) %>%
+    dplyr::filter(diagnostic %in% c(
+      "no_wastewater_data_flag",
+      "delayed_wastewater_data_flag",
+      "insufficient_ww_data_flag"
+    )) %>%
+    tidyr::pivot_wider(
+      id_cols = location,
+      names_from = diagnostic,
+      values_from = value
+    ) %>%
+    dplyr::mutate(additional_notes = dplyr::case_when(
+      no_wastewater_data_flag == 1 ~ "No wastewater data available",
+      insufficient_ww_data_flag == 1 ~ paste0(
+        "Wastewater data is too sparse, ",
+        "forecast not likely to be ",
+        "informed by wastewater"
+      ),
+      delayed_wastewater_data_flag == 1 ~ paste0(
+        "Wastewater data is ",
+        "unavailable for recent ",
+        "time-points, ",
+        "forecast not likely to be ",
+        "informed by wastewater"
+      ),
+      location %in% c(hosp_only_states) ~ paste0(
+        "Hospital admissions only model was run ",
+        "due to either issues with input data or model"
+      ),
+      TRUE ~ "None"
+    )) %>%
+    dplyr::select(location, additional_notes)
+
+  if (isTRUE(prod_run)) {
+    create_dir(output_dir)
+    save_path <- fs::path(
+      output_dir,
+      glue::glue("wastewater_metadata_table.tsv")
+    )
+    cli::cli_inform(
+      "Writing forecast additional notes to {save_path}"
+    )
+    readr::write_tsv(
+      metadata_df,
+      file = save_path
+    )
+  }
+
+  (metadata_df)
+}
+
+#' Create YAML formatted metadata file
+#' listing states without wastewater data,
+#' states with insufficient wastewater data,
+#' and states for which we used the hospital
+#' admissions only model.
+#'
+#' @param data_diagnostics_df Data frame of data
+#' diagnostics by location
+#' @param hosp_only_states States for which we chose
+#' to use the hospitalization only model, as a vector
+#' with states coded identically to how they are in
+#' the `location` column of `full_diagnostics_df`
+#' @param output_dir Path to a directory in which to save
+#' the metadata table. Only used if `prod_run = TRUE`.
+#' Default `NULL`.
+#' @param prod_run Is this a run for publication /
+#' production? If so, the output will be saved in an
+#' appropriate location as a .tsv. Boolean, default `FALSE`
+#'
+#' @return The metadata to be saved, as a `list`.
+#' @export
+get_metadata_yaml <- function(data_diagnostics_df,
+                              hosp_only_states,
+                              output_dir = NULL,
+                              prod_run = FALSE) {
+  summary_list <- get_summary_stats(data_diagnostics_df)
+
+  metadata <- list(
+    "States without wastewaster data" =
+      ifelse(rlang::is_empty(summary_list$states_w_no_ww_data), "None",
+        list(summary_list$states_w_no_ww_data)
+      ),
+    "States with insufficient wastewater data" =
+      ifelse(rlang::is_empty(summary_list$states_to_flag_for_hub),
+        "None",
+        list(summary_list$states_to_flag_for_hub)
+      ),
+    "States we chose to use hospital admissions only model on" =
+      ifelse(rlang::is_empty(hosp_only_states),
+        "None",
+        list(hosp_only_states)
+      )
+  )
+  if (isTRUE(prod_run)) {
+    create_dir(output_dir)
+    write_yaml(metadata, file = file.path(
+      output_dir,
+      glue::glue("metadata.yaml")
+    ))
+  }
+
+  return(metadata)
+}
+
+
+
+#' @title Assemble pipeline metadata for a given
+#' run, returning it as a list and
+#' writing it to disk as a YAML file.
+#'
+#' @param us_run Was the model run for the US as a
+#' whole in addition to states and territories?
+#' If so, this will be recorded. Boolean.
+#' @param dir_to_save_metadata Subdirectory in which to
+#' save the resultant metadata file.
+#' @param run_id Unique ID of the pipeline run (as a
+#' hash generated at runtime).
+#' @param date_run Date the pipeline was run.
+#' @param ww_data_dir Subdirectory in which wastewater
+#' data used for the run is stored.
+#' @param hosp_data_dir Subdirectory in which hospital
+#' admissions data used for the run is stored.
+#' @param forecast_date Forecast date targeted by the
+#' run.
+#' @param prod_run Is this a production run? Boolean.
+#' @param model_type What was the model type for this run?
+#' @param location What location(s) besides the US as a whole
+#' were run?
+#' @param output_dir What output directory was used to
+#' store run output.
+#' @param root_dir root directory where pipeline is being run, used to make absolute filepaths
+#' @param ... Other keyword arguments, for compatibility
+#' with do.call on a large parameter list.
+#' @return the metadata, as a list.
+#' @export
+get_pipeline_metadata <- function(us_run,
+                                  dir_to_save_metadata,
+                                  run_id,
+                                  date_run,
+                                  ww_data_path, hosp_data_dir,
+                                  forecast_date,
+                                  prod_run,
+                                  model_type,
+                                  location,
+                                  output_dir,
+                                  root_dir,
+                                  ...) {
+  git_hash <- system("git log --pretty=format:'%h' -n 1", intern = TRUE)
+
+
+  prod <- ifelse(isTRUE(prod_run), "prod", "test")
+  if (isTRUE(us_run)) {
+    locations_run <- c(location, "US")
+  } else {
+    locations_run <- location
+  }
+
+  relative_hosp_path <- file.path(
+    hosp_data_dir,
+    glue::glue(
+      as.character(forecast_date),
+      ".csv"
+    )
+  )
+
+  if (prod_run == TRUE) {
+    full_file_path <- file.path(
+      dir_to_save_metadata, "prod",
+      glue::glue("{forecast_date}-run-on-{date_run}")
+    )
+  } else {
+    full_file_path <- file.path(
+      dir_to_save_metadata, "test",
+      glue::glue("{forecast_date}-run-on-{date_run}")
+    )
+  }
+  create_dir(full_file_path)
+
+  pipeline_metadata <- list(
+    git_hash = git_hash,
+    relative_output_path = output_dir,
+    relative_hosp_path = relative_hosp_path,
+    relative_ww_path = ww_data_path,
+    full_output_path = fs::path(root_dir, output_dir),
+    full_ww_path = fs::path(root_dir, ww_data_path),
+    full_hosp_path = fs::path(root_dir, relative_hosp_path),
+    date_run = date_run,
+    prod_run = prod_run,
+    run_id = run_id,
+    model_type = model_type,
+    locations_run = locations_run,
+    all_locs_run = length(locations_run) == 53
+  )
+
+  write_yaml(pipeline_metadata, file = file.path(
+    full_file_path,
+    glue::glue("{run_id}.yaml")
+  ))
+  return(pipeline_metadata)
+}
diff --git a/cfaforecastrenewalww/R/get_output_subdirectory_paths.R b/cfaforecastrenewalww/R/get_output_subdirectory_paths.R
new file mode 100644
index 00000000..86eb415b
--- /dev/null
+++ b/cfaforecastrenewalww/R/get_output_subdirectory_paths.R
@@ -0,0 +1,30 @@
+#' Get the path to the subdirectory in which to
+#' save figures for a given top-level output directory
+#'
+#' @param output_dir Path to the output directory
+#'
+#' @return path to the figure subdirectory
+#' @export
+get_figure_output_subdirectory <- function(output_dir) {
+  subdir <- file.path(
+    output_dir, "figures"
+  )
+  return(subdir)
+}
+
+#' Get the path to the subdirectory in which
+#' to save summary output for a given top-level
+#' output directory.
+#'
+#' @param output_dir Path to the output directory
+#'
+#' @return The path to the subdirectory in which
+#' to save the summary PDFs
+#' @export
+get_pdf_output_subdirectory <- function(output_dir) {
+  subdir <- file.path(
+    output_dir,
+    "cleaned"
+  )
+  return(subdir)
+}
diff --git a/cfaforecastrenewalww/R/make_pps_data.R b/cfaforecastrenewalww/R/make_pps_data.R
index 0351a532..ecd175a6 100644
--- a/cfaforecastrenewalww/R/make_pps_data.R
+++ b/cfaforecastrenewalww/R/make_pps_data.R
@@ -68,25 +68,25 @@ make_pps_data <- function(mcmc_fit,
                              config) {
   stan_data <- real_data
 
-  y_df <- bind_rows(
+  y_df <- dplyr::bind_rows(
     pps_hosp_data,
     pps_ww_data
   )
 
   hosp_reporting_delay <- config$hosp_reporting_delay
   length_generated_hosp <- y_df %>%
-    filter(name == "pred_hosp") %>%
+    dplyr::filter(name == "pred_hosp") %>%
     nrow()
   calibration_time <- config$calibration_time
   length_input_hosp <- calibration_time
 
   # Reallocate hosp vector to be the same length as input hosp vector
   hosp <- y_df %>%
-    filter(
+    dplyr::filter(
       name == "pred_hosp",
       day <= calibration_time
     ) %>%
-    pull(value)
+    dplyr::pull(value)
 
   # Reallocate wastewater vector to be the same parameter as
   # the input wastewater vector
@@ -96,13 +96,13 @@ make_pps_data <- function(mcmc_fit,
 
   # Make into a matrix with each row a ww_lab_site and each column a time
   ww_conc_matrix <- y_df %>%
-    filter(name == "pred_ww") %>%
-    select(value, ww_lab_site, day) %>%
-    pivot_wider(
+    dplyr::filter(name == "pred_ww") %>%
+    dplyr::select(value, ww_lab_site, day) %>%
+    tidyr::pivot_wider(
       names_from = "day",
       values_from = "value"
     ) %>%
-    select(-ww_lab_site)
+    dplyr::select(-ww_lab_site)
   ww_conc_matrix <- data.matrix(ww_conc_matrix)
 
   # Get the vector of generated  wastewater concentrations using the same
diff --git a/cfaforecastrenewalww/R/posterior_predictive_analysis.R b/cfaforecastrenewalww/R/posterior_predictive_analysis.R
index 27a1ad33..5cf74728 100644
--- a/cfaforecastrenewalww/R/posterior_predictive_analysis.R
+++ b/cfaforecastrenewalww/R/posterior_predictive_analysis.R
@@ -1,9 +1,17 @@
-#' Runs posterior-predictive analyses and returns summaries of performance
+#' Runs posterior- and prior--predictive analyses and returns summaries of performance
+#'
 #' @description
 #' This function takes in a model object, the observed data, and the configuration file used to
-#' produce the real-data stan data object. It then fits the model, extracts generated quantities
-#' from some number of those fits, and runs new analyses on the simulated data. It then returns
-#' summaries of estimation performance.
+#' produce the real-data stan data object.
+#'
+#' If running a posterior-predictive analysis, it then fits the model, extracts generated
+#' quantities from some number of those fits, and runs new analyses on the simulated data.
+#' Lastly it returns summaries of estimation performance.
+#'
+#' If running prior-predictive analyses, it runs under the prior to get the joint prior
+#' distribution. Then it extracts generated quantities from some number of those fits,
+#' and runs new analyses on the simulated data. Lastly it returns summaries of
+#' estimation performance.
 #'
 #' @param model a CmdStanModel object defining the model
 #' @param real_data observed data, formated for stan
@@ -16,6 +24,7 @@
 #'  previously-run pps analyses (for re-summarizing)
 #' @param mclapply_cores integer specifying number of threads to use for
 #' posterior-predictive-analysis-level parallelization, separate from stan parallelization
+#' @param under_prior boolean, if TRUE prior-predictive analysis is run, not posterior
 #'
 #' @param ... further arguments passed to model$sample(), e.g. # chains
 #'
@@ -28,6 +37,7 @@ posterior_predictive_analysis <- function(model,
                                           real_data_fit = NA,
                                           ci_width = 0.89,
                                           mclapply_cores = NA,
+                                          under_prior = FALSE,
                                           ...) {
   alpha <- 1 - ci_width
   ci <- c(alpha / 2, 1 - alpha / 2)
diff --git a/cfaforecastrenewalww/R/prior_predictive_check.R b/cfaforecastrenewalww/R/prior_predictive_check.R
new file mode 100644
index 00000000..5e2122f2
--- /dev/null
+++ b/cfaforecastrenewalww/R/prior_predictive_check.R
@@ -0,0 +1,77 @@
+#' Draws data under the model's prior.
+#'
+#' @description
+#' This function takes in a model object, observed data, and the configuration file used to
+#' produce the real-data stan data object. It then runs the model under the prior and
+#' returns the observable (generated quantities) for some number of draws.
+#'
+#' @param model a CmdStanModel object defining the model
+#' @param real_data observed data, formated for stan, needed to match, for example, the number
+#' of wastewater sites
+#' @param config the output of get_config_vals()
+#' @param ndraws integer, number of draws from the prior predictive distribution to return
+#' @param mclapply_cores integer specifying number of threads to use for
+#' posterior-predictive-analysis-level parallelization, separate from stan parallelization
+#'
+#' @param ... further arguments passed to model$sample(), e.g. # chains
+#'
+#' @return a list, each of which is a list of formatted stan data
+#' @export
+prior_predictive_check <- function(model,
+                                   real_data,
+                                   config,
+                                   ndraws,
+                                   ...) {
+  real_data$compute_likelihood <- FALSE
+  prior_fit <- model$sample(data = real_data, ...)
+
+  par_df <- get_model_param_df(model)
+
+  prior_draws <- posterior::as_draws_list(prior_fit$draws())
+  n_prior_samples <- length(prior_draws[[1]][[1]]) * length(prior_draws)
+  draw <- round(seq(1, n_prior_samples, length.out = ndraws))
+
+  prior_predictive_data <- make_pps_data(
+    prior_fit,
+    real_data,
+    config,
+    draw
+  )
+
+  return(prior_predictive_data)
+}
+
+#' Observables extraction from prior predictive samples
+#'
+#' @param prior_pred output of prior_predictive_check, stan data object
+#'
+#' @return a tibble, with columns time (the time),
+#' hosp (the hospitalization count), and
+#' draw (the draw this came from)
+#' @export
+get_prior_pred_hosps_df <- function(prior_pred) {
+  lapply(seq_along(prior_pred), function(i) {
+    pp <- prior_pred[[i]]
+    dplyr::bind_cols(time = pp$hosp_times, hosp = pp$hosp, draw = i)
+  }) |>
+    dplyr::bind_rows()
+}
+
+#' Observables extraction from prior predictive samples
+#'
+#' @param prior_pred output of prior_predictive_check, stan data object
+#' @param site_index which site to extract
+#'
+#' @return a tibble, with columns time (the time),
+#' log_conc (the ww log-concentration), and
+#' draw (the draw this came from)
+#' @export
+get_prior_pred_ww_df <- function(prior_pred, site_index) {
+  lapply(seq_along(prior_pred), function(i) {
+    pp <- prior_pred[[i]]
+    ww <- pp$log_conc[pp$ww_sampled_sites == site_index]
+    times <- pp$ww_sampled_times[pp$ww_sampled_sites == site_index]
+    dplyr::bind_cols(time = times, log_conc = ww, draw = i)
+  }) |>
+    dplyr::bind_rows()
+}
diff --git a/cfaforecastrenewalww/R/sysdata.rda b/cfaforecastrenewalww/R/sysdata.rda
old mode 100644
new mode 100755
index c0cafd7c..d489b77b
Binary files a/cfaforecastrenewalww/R/sysdata.rda and b/cfaforecastrenewalww/R/sysdata.rda differ
diff --git a/cfaforecastrenewalww/inst/stan/functions/ar1.stan b/cfaforecastrenewalww/inst/stan/functions/ar1.stan
index 7d6c1712..82f4e9ce 100644
--- a/cfaforecastrenewalww/inst/stan/functions/ar1.stan
+++ b/cfaforecastrenewalww/inst/stan/functions/ar1.stan
@@ -4,6 +4,8 @@
   * @param ac The autocorrelation coefficient.
   * @param sd The sd for the white noise/IID normal terms.
   * @param z vector of IID Normal(0,1) variables, the white noise/increment terms.
+  * @param is_stat int serving as logical, should process be initialized at
+  * stationary variance (1) or not (0)? Not valid for |ac| >= 1.
   * @return A vector, the values of the mean-preserving AR(1) process:
   * x[1] = x0,
   * x[i > 1] = mu + tvd[[i], where
@@ -11,17 +13,25 @@
   * Formally x(t) = mu(t) + delta(t) where
   * delta(t) = psi*delta(t-1) + eta(t)
   */
-vector ar1(vector mu, real ac, real sd, vector z) {
+vector ar1(vector mu, real ac, real sd, vector z, int is_stat) {
   int n = num_elements(z);
   vector[n] x;
   vector[n] tvd;
 
-  tvd[1] = sd * z[1];
+  real adj = 1.0;
+  if(is_stat) {
+    if (ac >= 1.0) {
+      reject("AR(1) process is not stationary if ac >= 1.");
+    }
+    adj = 1.0 / sqrt(1.0 - ac^2);
+  }
+
+  tvd[1] = sd * adj * z[1];
   x[1] = mu[1] + tvd[1];
 
-  for (i in 2:n) {
-    tvd[i] = ac * tvd[i - 1] + sd * z[i];
-    x[i] = mu[i] + tvd[i];
+  for (t in 2:n) {
+    tvd[t] = ac * tvd[t - 1] + sd * z[t];
+    x[t] = mu[t] + tvd[t];
   }
 
   return x;
diff --git a/cfaforecastrenewalww/inst/stan/renewal_ww_hosp_site_level_inf_dynamics.stan b/cfaforecastrenewalww/inst/stan/renewal_ww_hosp_site_level_inf_dynamics.stan
index 36fade9c..82744ed3 100644
--- a/cfaforecastrenewalww/inst/stan/renewal_ww_hosp_site_level_inf_dynamics.stan
+++ b/cfaforecastrenewalww/inst/stan/renewal_ww_hosp_site_level_inf_dynamics.stan
@@ -215,7 +215,8 @@ transformed parameters {
     // log(R(t)site) ~ log(R(t)state) + log(R(t)state-log(R(t)site)) + eta_site
     log_r_site_t_in_weeks = ar1(log_r_mu_t_in_weeks,
                                 autoreg_rt_site, sigma_rt,
-                                to_vector(error_site[i]));
+                                to_vector(error_site[i]),
+                                1);
      //convert from weekly to daily
      unadj_r_site_t = exp(to_row_vector(ind_m*(log_r_site_t_in_weeks)));
 
diff --git a/cfaforecastrenewalww/man/get_config_vals.Rd b/cfaforecastrenewalww/man/get_config_vals.Rd
index e7c09f16..7f863bff 100644
--- a/cfaforecastrenewalww/man/get_config_vals.Rd
+++ b/cfaforecastrenewalww/man/get_config_vals.Rd
@@ -2,13 +2,18 @@
 % Please edit documentation in R/get_config_vals.R
 \name{get_config_vals}
 \alias{get_config_vals}
-\title{Read in the config yaml}
+\title{Read in the config yaml and add run-specific
+dynamic configuration to it.}
 \usage{
 get_config_vals(path_to_config)
 }
 \arguments{
 \item{path_to_config}{path the config yaml}
 }
+\value{
+The configuration values, as a list
+}
 \description{
-Read in the config yaml
+Read in the config yaml and add run-specific
+dynamic configuration to it.
 }
diff --git a/cfaforecastrenewalww/man/get_figure_output_subdirectory.Rd b/cfaforecastrenewalww/man/get_figure_output_subdirectory.Rd
new file mode 100644
index 00000000..fcb7d40a
--- /dev/null
+++ b/cfaforecastrenewalww/man/get_figure_output_subdirectory.Rd
@@ -0,0 +1,19 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/get_output_subdirectory_paths.R
+\name{get_figure_output_subdirectory}
+\alias{get_figure_output_subdirectory}
+\title{Get the path to the subdirectory in which to
+save figures for a given top-level output directory}
+\usage{
+get_figure_output_subdirectory(output_dir)
+}
+\arguments{
+\item{output_dir}{Path to the output directory}
+}
+\value{
+path to the figure subdirectory
+}
+\description{
+Get the path to the subdirectory in which to
+save figures for a given top-level output directory
+}
diff --git a/cfaforecastrenewalww/man/get_location_notes_table.Rd b/cfaforecastrenewalww/man/get_location_notes_table.Rd
new file mode 100644
index 00000000..9dc7f201
--- /dev/null
+++ b/cfaforecastrenewalww/man/get_location_notes_table.Rd
@@ -0,0 +1,44 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/get_output_metadata.R
+\name{get_location_notes_table}
+\alias{get_location_notes_table}
+\title{Get a table that records notes on data characteristics
+and model choices for individual locations,
+e.g. the absence of recent wastewater observations or
+the decision to publish the hospital admissions only
+model}
+\usage{
+get_location_notes_table(
+  full_diagnostics_df,
+  hosp_only_states,
+  output_dir = NULL,
+  prod_run = FALSE
+)
+}
+\arguments{
+\item{full_diagnostics_df}{Data frame of data diagnostics
+by locations.}
+
+\item{hosp_only_states}{States for which we chose
+to use the hospitalization only model, as a vector
+with states coded identically to how they are in
+the `location` column of `full_diagnostics_df`}
+
+\item{output_dir}{Path to a directory in which to save
+the metadata table. Only used if `prod_run = TRUE`.
+Default `NULL`.}
+
+\item{prod_run}{Is this a run for publication /
+production? If so, the output will be saved in an
+appropriate location as a .tsv. Boolean, default `FALSE`}
+}
+\value{
+The table of information as a [tibble::tibble()].
+}
+\description{
+Get a table that records notes on data characteristics
+and model choices for individual locations,
+e.g. the absence of recent wastewater observations or
+the decision to publish the hospital admissions only
+model
+}
diff --git a/cfaforecastrenewalww/man/get_metadata_yaml.Rd b/cfaforecastrenewalww/man/get_metadata_yaml.Rd
index d7795669..eea4924d 100644
--- a/cfaforecastrenewalww/man/get_metadata_yaml.Rd
+++ b/cfaforecastrenewalww/man/get_metadata_yaml.Rd
@@ -1,22 +1,44 @@
 % Generated by roxygen2: do not edit by hand
-% Please edit documentation in R/get_config_vals.R
+% Please edit documentation in R/get_output_metadata.R
 \name{get_metadata_yaml}
 \alias{get_metadata_yaml}
-\title{Get metadata to list all states with no wastewater or insufficient wastewater
-data}
+\title{Create YAML formatted metadata file
+listing states without wastewater data,
+states with insufficient wastewater data,
+and states for which we used the hospital
+admissions only model.}
 \usage{
 get_metadata_yaml(
-  full_diagnostics_df,
-  repo_file_path,
+  data_diagnostics_df,
   hosp_only_states,
-  prod_run,
-  ...
+  output_dir = NULL,
+  prod_run = FALSE
 )
 }
 \arguments{
-\item{prod_run}{}
+\item{data_diagnostics_df}{Data frame of data
+diagnostics by location}
+
+\item{hosp_only_states}{States for which we chose
+to use the hospitalization only model, as a vector
+with states coded identically to how they are in
+the `location` column of `full_diagnostics_df`}
+
+\item{output_dir}{Path to a directory in which to save
+the metadata table. Only used if `prod_run = TRUE`.
+Default `NULL`.}
+
+\item{prod_run}{Is this a run for publication /
+production? If so, the output will be saved in an
+appropriate location as a .tsv. Boolean, default `FALSE`}
+}
+\value{
+The metadata to be saved, as a `list`.
 }
 \description{
-Get metadata to list all states with no wastewater or insufficient wastewater
-data
+Create YAML formatted metadata file
+listing states without wastewater data,
+states with insufficient wastewater data,
+and states for which we used the hospital
+admissions only model.
 }
diff --git a/cfaforecastrenewalww/man/get_pdf_output_subdirectory.Rd b/cfaforecastrenewalww/man/get_pdf_output_subdirectory.Rd
new file mode 100644
index 00000000..0d9b1077
--- /dev/null
+++ b/cfaforecastrenewalww/man/get_pdf_output_subdirectory.Rd
@@ -0,0 +1,22 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/get_output_subdirectory_paths.R
+\name{get_pdf_output_subdirectory}
+\alias{get_pdf_output_subdirectory}
+\title{Get the path to the subdirectory in which
+to save summary output for a given top-level
+output directory.}
+\usage{
+get_pdf_output_subdirectory(output_dir)
+}
+\arguments{
+\item{output_dir}{Path to the output directory}
+}
+\value{
+The path to the subdirectory in which
+to save the summary PDFs
+}
+\description{
+Get the path to the subdirectory in which
+to save summary output for a given top-level
+output directory.
+}
diff --git a/cfaforecastrenewalww/man/get_pipeline_metadata.Rd b/cfaforecastrenewalww/man/get_pipeline_metadata.Rd
index 48fe3e82..ce736dec 100644
--- a/cfaforecastrenewalww/man/get_pipeline_metadata.Rd
+++ b/cfaforecastrenewalww/man/get_pipeline_metadata.Rd
@@ -1,12 +1,14 @@
 % Generated by roxygen2: do not edit by hand
-% Please edit documentation in R/get_config_vals.R
+% Please edit documentation in R/get_output_metadata.R
 \name{get_pipeline_metadata}
 \alias{get_pipeline_metadata}
-\title{Write pipeline metadata to a YAML}
+\title{Assemble pipeline metadata for a given
+run, returning it as a list and
+writing it to disk as a YAML file.}
 \usage{
 get_pipeline_metadata(
   us_run,
-  path_to_save_metadata,
+  dir_to_save_metadata,
   run_id,
   date_run,
   ww_data_path,
@@ -21,13 +23,47 @@ get_pipeline_metadata(
 )
 }
 \arguments{
-\item{us_run}{US run?}
+\item{us_run}{Was the model run for the US as a
+whole in addition to states and territories?
+If so, this will be recorded. Boolean.}
+
+\item{dir_to_save_metadata}{Subdirectory in which to
+save the resultant metadata file.}
+
+\item{run_id}{Unique ID of the pipeline run (as a
+hash generated at runtime).}
+
+\item{date_run}{Date the pipeline was run.}
+
+\item{hosp_data_dir}{Subdirectory in which hospital
+admissions data used for the run is stored.}
+
+\item{forecast_date}{Forecast date targeted by the
+run.}
+
+\item{prod_run}{Is this a production run? Boolean.}
+
+\item{model_type}{What was the model type for this run?}
+
+\item{location}{What location(s) besides the US as a whole
+were run?}
+
+\item{output_dir}{What output directory was used to
+store run output.}
 
 \item{root_dir}{root directory where pipeline is being run, used to make absolute filepaths}
+
+\item{...}{Other keyword arguments, for compatibility
+with do.call on a large parameter list.}
+
+\item{ww_data_dir}{Subdirectory in which wastewater
+data used for the run is stored.}
 }
 \value{
-the metadata
+the metadata, as a list.
 }
 \description{
-Write pipeline metadata to a YAML
+Assemble pipeline metadata for a given
+run, returning it as a list and
+writing it to disk as a YAML file.
 }
diff --git a/cfaforecastrenewalww/man/get_prior_pred_hosps_df.Rd b/cfaforecastrenewalww/man/get_prior_pred_hosps_df.Rd
new file mode 100644
index 00000000..a0b9eda8
--- /dev/null
+++ b/cfaforecastrenewalww/man/get_prior_pred_hosps_df.Rd
@@ -0,0 +1,19 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/prior_predictive_check.R
+\name{get_prior_pred_hosps_df}
+\alias{get_prior_pred_hosps_df}
+\title{Observables extraction from prior predictive samples}
+\usage{
+get_prior_pred_hosps_df(prior_pred)
+}
+\arguments{
+\item{prior_pred}{output of prior_predictive_check, stan data object}
+}
+\value{
+a tibble, with columns time (the time),
+hosp (the hospitalization count), and
+draw (the draw this came from)
+}
+\description{
+Observables extraction from prior predictive samples
+}
diff --git a/cfaforecastrenewalww/man/get_prior_pred_ww_df.Rd b/cfaforecastrenewalww/man/get_prior_pred_ww_df.Rd
new file mode 100644
index 00000000..e8ec8b3d
--- /dev/null
+++ b/cfaforecastrenewalww/man/get_prior_pred_ww_df.Rd
@@ -0,0 +1,21 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/prior_predictive_check.R
+\name{get_prior_pred_ww_df}
+\alias{get_prior_pred_ww_df}
+\title{Observables extraction from prior predictive samples}
+\usage{
+get_prior_pred_ww_df(prior_pred, site_index)
+}
+\arguments{
+\item{prior_pred}{output of prior_predictive_check, stan data object}
+
+\item{site_index}{which site to extract}
+}
+\value{
+a tibble, with columns time (the time),
+log_conc (the ww log-concentration), and
+draw (the draw this came from)
+}
+\description{
+Observables extraction from prior predictive samples
+}
diff --git a/cfaforecastrenewalww/man/posterior_predictive_analysis.Rd b/cfaforecastrenewalww/man/posterior_predictive_analysis.Rd
index 2e7b3bf4..f2950d73 100644
--- a/cfaforecastrenewalww/man/posterior_predictive_analysis.Rd
+++ b/cfaforecastrenewalww/man/posterior_predictive_analysis.Rd
@@ -2,7 +2,7 @@
 % Please edit documentation in R/posterior_predictive_analysis.R
 \name{posterior_predictive_analysis}
 \alias{posterior_predictive_analysis}
-\title{Runs posterior-predictive analyses and returns summaries of performance}
+\title{Runs posterior- and prior--predictive analyses and returns summaries of performance}
 \usage{
 posterior_predictive_analysis(
   model,
@@ -12,6 +12,7 @@ posterior_predictive_analysis(
   real_data_fit = NA,
   ci_width = 0.89,
   mclapply_cores = NA,
+  under_prior = FALSE,
   ...
 )
 }
@@ -31,6 +32,8 @@ previous real-data model fit}
 \item{mclapply_cores}{integer specifying number of threads to use for
 posterior-predictive-analysis-level parallelization, separate from stan parallelization}
 
+\item{under_prior}{boolean, if TRUE prior-predictive analysis is run, not posterior}
+
 \item{...}{further arguments passed to model$sample(), e.g. # chains}
 
 \item{pps_mcmc_fits}{list of CmdStanMCMC objects, optional argument providing
@@ -41,7 +44,14 @@ a list, each of which is a list of formatted stan data
 }
 \description{
 This function takes in a model object, the observed data, and the configuration file used to
-produce the real-data stan data object. It then fits the model, extracts generated quantities
-from some number of those fits, and runs new analyses on the simulated data. It then returns
-summaries of estimation performance.
+produce the real-data stan data object.
+
+If running a posterior-predictive analysis, it then fits the model, extracts generated
+quantities from some number of those fits, and runs new analyses on the simulated data.
+Lastly it returns summaries of estimation performance.
+
+If running prior-predictive analyses, it runs under the prior to get the joint prior
+distribution. Then it extracts generated quantities from some number of those fits,
+and runs new analyses on the simulated data. Lastly it returns summaries of
+estimation performance.
 }
diff --git a/cfaforecastrenewalww/man/prior_predictive_check.Rd b/cfaforecastrenewalww/man/prior_predictive_check.Rd
new file mode 100644
index 00000000..24074e2c
--- /dev/null
+++ b/cfaforecastrenewalww/man/prior_predictive_check.Rd
@@ -0,0 +1,31 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/prior_predictive_check.R
+\name{prior_predictive_check}
+\alias{prior_predictive_check}
+\title{Draws data under the model's prior.}
+\usage{
+prior_predictive_check(model, real_data, config, ndraws, ...)
+}
+\arguments{
+\item{model}{a CmdStanModel object defining the model}
+
+\item{real_data}{observed data, formated for stan, needed to match, for example, the number
+of wastewater sites}
+
+\item{config}{the output of get_config_vals()}
+
+\item{ndraws}{integer, number of draws from the prior predictive distribution to return}
+
+\item{...}{further arguments passed to model$sample(), e.g. # chains}
+
+\item{mclapply_cores}{integer specifying number of threads to use for
+posterior-predictive-analysis-level parallelization, separate from stan parallelization}
+}
+\value{
+a list, each of which is a list of formatted stan data
+}
+\description{
+This function takes in a model object, observed data, and the configuration file used to
+produce the real-data stan data object. It then runs the model under the prior and
+returns the observable (generated quantities) for some number of draws.
+}
diff --git a/cfaforecastrenewalww/tests/testthat/test_ar1.R b/cfaforecastrenewalww/tests/testthat/test_ar1.R
new file mode 100644
index 00000000..5181ce0a
--- /dev/null
+++ b/cfaforecastrenewalww/tests/testthat/test_ar1.R
@@ -0,0 +1,56 @@
+test_that("Test AR(1) function in stan.", {
+  model <- compiled_site_inf_model
+
+  ar1ify <- function(z, sd, ac, stationary = FALSE) {
+    x <- rep(NA, length(z))
+
+    x[1] <- z[1] * sd
+    if (stationary) {
+      stat_sd <- sd / sqrt(1 - ac * ac)
+      x[1] <- z[1] * stat_sd
+    }
+
+    for (i in 2:length(z)) {
+      x[i] <- ac * x[i - 1] + z[i] * sd
+    }
+
+    return(x)
+  }
+
+  withr::with_seed(42, {
+    z <- rnorm(10)
+
+    stan_ar <- model$functions$ar1(
+      mu = rep(0, length(z)),
+      ac = 0.73,
+      sd = 1.26,
+      z = z,
+      is_stat = TRUE
+    )
+    r_ar <- ar1ify(z, 1.26, 0.73, TRUE)
+
+    testthat::expect_equal(
+      stan_ar,
+      r_ar
+    )
+
+    stan_ar_nonstat <- model$functions$ar1(
+      mu = rep(0, length(z)),
+      ac = 0.73,
+      sd = 1.26,
+      z = z,
+      is_stat = FALSE
+    )
+
+    testthat::expect_true(
+      all(abs(stan_ar - stan_ar_nonstat) > testthat::testthat_tolerance())
+    )
+
+    r_ar_nonstat <- ar1ify(z, 1.26, 0.73, FALSE)
+
+    testthat::expect_equal(
+      stan_ar_nonstat,
+      r_ar_nonstat
+    )
+  })
+})
diff --git a/cfaforecastrenewalww/tests/testthat/test_ar1_marginal_variance.R b/cfaforecastrenewalww/tests/testthat/test_ar1_marginal_variance.R
new file mode 100644
index 00000000..bffe8c82
--- /dev/null
+++ b/cfaforecastrenewalww/tests/testthat/test_ar1_marginal_variance.R
@@ -0,0 +1,40 @@
+test_explanation <- paste0(
+  "When running a stationary AR(1) process initialized from the stationary variance, ",
+  "the marginal variances should be larger than when compared to an AR(1) process ",
+  "initialized from the (smaller) variance of the residuals. (At least, until stationarity ",
+  "is reached.)"
+)
+
+test_that(test_explanation, {
+  model <- compiled_site_inf_model
+
+  withr::with_seed(42, {
+    stationary <- sapply(1:1e3, function(i) {
+      z <- rnorm(10)
+
+      model$functions$ar1(
+        mu = rep(0, length(z)),
+        ac = 0.95,
+        sd = 0.15,
+        z = z,
+        is_stat = TRUE
+      )
+    })
+
+    nonstationary <- sapply(1:1e3, function(i) {
+      z <- rnorm(10)
+
+      model$functions$ar1(
+        mu = rep(0, length(z)),
+        ac = 0.95,
+        sd = 0.15,
+        z = z,
+        is_stat = FALSE
+      )
+    })
+
+    testthat::expect_true(
+      all(apply(stationary, 1, var) > apply(nonstationary, 1, var))
+    )
+  })
+})
diff --git a/model_definition.md b/model_definition.md
index d20bddda..c66d20e6 100644
--- a/model_definition.md
+++ b/model_definition.md
@@ -111,7 +111,7 @@ The damping term we use is based on Asher et al. 2018[^Asher2018] but extended t
 
 $$ \mathcal{R}(t) = \mathcal{R}^\mathrm{u}(t) \exp \left( -\gamma \sum_{\tau = 1}^{T_f}I(t-\tau)g(\tau) \right) $$
 
-where $\gamma$ is the _infection feedback term_ controlling the strength of the damping on $\mathcal{R}(t)$, and the summation is analogous to the "force of infection."
+where $\gamma$ is the _infection feedback term_ controlling the strength of the damping on $\mathcal{R}(t)$, and the summation is analogous to the "force of infection." See [Prior Distributions](#prior-distributions) below for description of prior choice on $\gamma$.
 
 ### Hospital admissions component
 
@@ -137,7 +137,7 @@ $$ \mathrm{logit} (p_{\mathrm{hosp}}(t_2)) \sim \mathrm{Normal}(\mathrm{logit}(p
 
 The process is initialized at the calibration start time $t_0$ via a prior distribution (see [Prior Distributions](#prior-distributions) below).
 
-In hospital admissions only models, we model the IHR as constant. We assign this constant IHR the same prior distribution we assign to the mean of the time-varying IHR in the wastewater-informed models.
+In hospital admissions only models, we model the IHR as constant. We assign this constant IHR the same prior distribution we assign to the intercept of the time-varying IHR in the wastewater-informed models.
 
 ### Hospital admissions observation model
 We model the observed hospital admission counts $h_t$ as:
@@ -296,6 +296,7 @@ We use informative priors for parameters that have been well characterized in th
 | Total genomes shed per infected individual | $\log_{10}[G] \sim \mathrm{Normal}(9, 2)$ | Watson et al 2023[^Watson]   |
 | Initial infections per capita $I_0$ | $I_0 \sim \mathrm{Beta}(1 + k i_\mathrm{est}, 1 + k (1-i_\mathrm{est}))$ | where $i_\mathrm{est}$ is the sum of the last 7 days of hospital admissions, divided by state population, and divided by the prior mode for $p_\mathrm{hosp}$, and $k = 5$ is a parameter governing the informativeness ("certainty") of the Beta distribution |
 | Initial exponential growth rate | $r \sim \mathrm{Normal}(0, 0.01)$ | Chosen to assume flat dynamics prior to observations |
+| Infection feedback term | $\gamma \sim \mathrm{logNormal}(6.37, 0.4)$ | Weakly informative prior chosen to have a mode of 500 in natural scale, based on posterior estimates of peaks from prior seasons in a few locations|
 
 ### Scalar parameters
 
diff --git a/output/forecasts/2024-03-18/2024-03-18.tsv b/output/forecasts/2024-03-18/2024-03-18.tsv
new file mode 100644
index 00000000..b8aa52d5
--- /dev/null
+++ b/output/forecasts/2024-03-18/2024-03-18.tsv
@@ -0,0 +1,34133 @@
+"target" "location" "forecast_date" "target_end_date" "quantile" "value" "type" "model_type"
+"1 day ahead inc hosp" "02" 2024-03-18 2024-03-19 0.01 0 "quantile" "site-level infection dynamics"
+"1 day ahead inc hosp" "02" 2024-03-18 2024-03-19 0.025 0 "quantile" "site-level infection dynamics"
+"1 day ahead inc hosp" "02" 2024-03-18 2024-03-19 0.05 1 "quantile" "site-level infection dynamics"
+"1 day ahead inc hosp" "02" 2024-03-18 2024-03-19 0.1 2 "quantile" "site-level infection dynamics"
+"1 day ahead inc hosp" "02" 2024-03-18 2024-03-19 0.15 2.85 "quantile" "site-level infection dynamics"
+"1 day ahead inc hosp" "02" 2024-03-18 2024-03-19 0.2 3 "quantile" "site-level infection dynamics"
+"1 day ahead inc hosp" "02" 2024-03-18 2024-03-19 0.25 3 "quantile" "site-level infection dynamics"
+"1 day ahead inc hosp" "02" 2024-03-18 2024-03-19 0.3 3.7 "quantile" "site-level infection dynamics"
+"1 day ahead inc hosp" "02" 2024-03-18 2024-03-19 0.35 4 "quantile" "site-level infection dynamics"
+"1 day ahead inc hosp" "02" 2024-03-18 2024-03-19 0.4 4 "quantile" "site-level infection dynamics"
+"1 day ahead inc hosp" "02" 2024-03-18 2024-03-19 0.45 5 "quantile" "site-level infection dynamics"
+"1 day ahead inc hosp" "02" 2024-03-18 2024-03-19 0.5 5 "quantile" "site-level infection dynamics"
+"1 day ahead inc hosp" "02" 2024-03-18 2024-03-19 0.55 5 "quantile" "site-level infection dynamics"
+"1 day ahead inc hosp" "02" 2024-03-18 2024-03-19 0.6 5 "quantile" "site-level infection dynamics"
+"1 day ahead inc hosp" "02" 2024-03-18 2024-03-19 0.65 6 "quantile" "site-level infection dynamics"
+"1 day ahead inc hosp" "02" 2024-03-18 2024-03-19 0.7 6 "quantile" "site-level infection dynamics"
+"1 day ahead inc hosp" "02" 2024-03-18 2024-03-19 0.75 7 "quantile" "site-level infection dynamics"
+"1 day ahead inc hosp" "02" 2024-03-18 2024-03-19 0.8 7 "quantile" "site-level infection dynamics"
+"1 day ahead inc hosp" "02" 2024-03-18 2024-03-19 0.85 8 "quantile" "site-level infection dynamics"
+"1 day ahead inc hosp" "02" 2024-03-18 2024-03-19 0.9 8.10000000000001 "quantile" "site-level infection dynamics"
+"1 day ahead inc hosp" "02" 2024-03-18 2024-03-19 0.95 9.05 "quantile" "site-level infection dynamics"
+"1 day ahead inc hosp" "02" 2024-03-18 2024-03-19 0.975 10 "quantile" "site-level infection dynamics"
+"1 day ahead inc hosp" "02" 2024-03-18 2024-03-19 0.99 10.01 "quantile" "site-level infection dynamics"
+"2 day ahead inc hosp" "02" 2024-03-18 2024-03-20 0.01 1.99 "quantile" "site-level infection dynamics"
+"2 day ahead inc hosp" "02" 2024-03-18 2024-03-20 0.025 2 "quantile" "site-level infection dynamics"
+"2 day ahead inc hosp" "02" 2024-03-18 2024-03-20 0.05 2 "quantile" "site-level infection dynamics"
+"2 day ahead inc hosp" "02" 2024-03-18 2024-03-20 0.1 2 "quantile" "site-level infection dynamics"
+"2 day ahead inc hosp" "02" 2024-03-18 2024-03-20 0.15 3 "quantile" "site-level infection dynamics"
+"2 day ahead inc hosp" "02" 2024-03-18 2024-03-20 0.2 3 "quantile" "site-level infection dynamics"
+"2 day ahead inc hosp" "02" 2024-03-18 2024-03-20 0.25 3 "quantile" "site-level infection dynamics"
+"2 day ahead inc hosp" "02" 2024-03-18 2024-03-20 0.3 4 "quantile" "site-level infection dynamics"
+"2 day ahead inc hosp" "02" 2024-03-18 2024-03-20 0.35 4 "quantile" "site-level infection dynamics"
+"2 day ahead inc hosp" "02" 2024-03-18 2024-03-20 0.4 4 "quantile" "site-level infection dynamics"
+"2 day ahead inc hosp" "02" 2024-03-18 2024-03-20 0.45 5 "quantile" "site-level infection dynamics"
+"2 day ahead inc hosp" "02" 2024-03-18 2024-03-20 0.5 5 "quantile" "site-level infection dynamics"
+"2 day ahead inc hosp" "02" 2024-03-18 2024-03-20 0.55 6 "quantile" "site-level infection dynamics"
+"2 day ahead inc hosp" "02" 2024-03-18 2024-03-20 0.6 6 "quantile" "site-level infection dynamics"
+"2 day ahead inc hosp" "02" 2024-03-18 2024-03-20 0.65 7 "quantile" "site-level infection dynamics"
+"2 day ahead inc hosp" "02" 2024-03-18 2024-03-20 0.7 7 "quantile" "site-level infection dynamics"
+"2 day ahead inc hosp" "02" 2024-03-18 2024-03-20 0.75 8 "quantile" "site-level infection dynamics"
+"2 day ahead inc hosp" "02" 2024-03-18 2024-03-20 0.8 8 "quantile" "site-level infection dynamics"
+"2 day ahead inc hosp" "02" 2024-03-18 2024-03-20 0.85 9 "quantile" "site-level infection dynamics"
+"2 day ahead inc hosp" "02" 2024-03-18 2024-03-20 0.9 10 "quantile" "site-level infection dynamics"
+"2 day ahead inc hosp" "02" 2024-03-18 2024-03-20 0.95 11 "quantile" "site-level infection dynamics"
+"2 day ahead inc hosp" "02" 2024-03-18 2024-03-20 0.975 12.525 "quantile" "site-level infection dynamics"
+"2 day ahead inc hosp" "02" 2024-03-18 2024-03-20 0.99 15 "quantile" "site-level infection dynamics"
+"3 day ahead inc hosp" "02" 2024-03-18 2024-03-21 0.01 0.99 "quantile" "site-level infection dynamics"
+"3 day ahead inc hosp" "02" 2024-03-18 2024-03-21 0.025 1 "quantile" "site-level infection dynamics"
+"3 day ahead inc hosp" "02" 2024-03-18 2024-03-21 0.05 1 "quantile" "site-level infection dynamics"
+"3 day ahead inc hosp" "02" 2024-03-18 2024-03-21 0.1 2 "quantile" "site-level infection dynamics"
+"3 day ahead inc hosp" "02" 2024-03-18 2024-03-21 0.15 2 "quantile" "site-level infection dynamics"
+"3 day ahead inc hosp" "02" 2024-03-18 2024-03-21 0.2 3 "quantile" "site-level infection dynamics"
+"3 day ahead inc hosp" "02" 2024-03-18 2024-03-21 0.25 3 "quantile" "site-level infection dynamics"
+"3 day ahead inc hosp" "02" 2024-03-18 2024-03-21 0.3 4 "quantile" "site-level infection dynamics"
+"3 day ahead inc hosp" "02" 2024-03-18 2024-03-21 0.35 4 "quantile" "site-level infection dynamics"
+"3 day ahead inc hosp" "02" 2024-03-18 2024-03-21 0.4 4 "quantile" "site-level infection dynamics"
+"3 day ahead inc hosp" "02" 2024-03-18 2024-03-21 0.45 5 "quantile" "site-level infection dynamics"
+"3 day ahead inc hosp" "02" 2024-03-18 2024-03-21 0.5 5 "quantile" "site-level infection dynamics"
+"3 day ahead inc hosp" "02" 2024-03-18 2024-03-21 0.55 5 "quantile" "site-level infection dynamics"
+"3 day ahead inc hosp" "02" 2024-03-18 2024-03-21 0.6 6 "quantile" "site-level infection dynamics"
+"3 day ahead inc hosp" "02" 2024-03-18 2024-03-21 0.65 6 "quantile" "site-level infection dynamics"
+"3 day ahead inc hosp" "02" 2024-03-18 2024-03-21 0.7 6.30000000000001 "quantile" "site-level infection dynamics"
+"3 day ahead inc hosp" "02" 2024-03-18 2024-03-21 0.75 7 "quantile" "site-level infection dynamics"
+"3 day ahead inc hosp" "02" 2024-03-18 2024-03-21 0.8 8 "quantile" "site-level infection dynamics"
+"3 day ahead inc hosp" "02" 2024-03-18 2024-03-21 0.85 8.15000000000001 "quantile" "site-level infection dynamics"
+"3 day ahead inc hosp" "02" 2024-03-18 2024-03-21 0.9 10 "quantile" "site-level infection dynamics"
+"3 day ahead inc hosp" "02" 2024-03-18 2024-03-21 0.95 11 "quantile" "site-level infection dynamics"
+"3 day ahead inc hosp" "02" 2024-03-18 2024-03-21 0.975 11.525 "quantile" "site-level infection dynamics"
+"3 day ahead inc hosp" "02" 2024-03-18 2024-03-21 0.99 14.07 "quantile" "site-level infection dynamics"
+"4 day ahead inc hosp" "02" 2024-03-18 2024-03-22 0.01 0.99 "quantile" "site-level infection dynamics"
+"4 day ahead inc hosp" "02" 2024-03-18 2024-03-22 0.025 1 "quantile" "site-level infection dynamics"
+"4 day ahead inc hosp" "02" 2024-03-18 2024-03-22 0.05 1 "quantile" "site-level infection dynamics"
+"4 day ahead inc hosp" "02" 2024-03-18 2024-03-22 0.1 1 "quantile" "site-level infection dynamics"
+"4 day ahead inc hosp" "02" 2024-03-18 2024-03-22 0.15 2 "quantile" "site-level infection dynamics"
+"4 day ahead inc hosp" "02" 2024-03-18 2024-03-22 0.2 2 "quantile" "site-level infection dynamics"
+"4 day ahead inc hosp" "02" 2024-03-18 2024-03-22 0.25 2 "quantile" "site-level infection dynamics"
+"4 day ahead inc hosp" "02" 2024-03-18 2024-03-22 0.3 3 "quantile" "site-level infection dynamics"
+"4 day ahead inc hosp" "02" 2024-03-18 2024-03-22 0.35 3 "quantile" "site-level infection dynamics"
+"4 day ahead inc hosp" "02" 2024-03-18 2024-03-22 0.4 3 "quantile" "site-level infection dynamics"
+"4 day ahead inc hosp" "02" 2024-03-18 2024-03-22 0.45 3.55 "quantile" "site-level infection dynamics"
+"4 day ahead inc hosp" "02" 2024-03-18 2024-03-22 0.5 4 "quantile" "site-level infection dynamics"
+"4 day ahead inc hosp" "02" 2024-03-18 2024-03-22 0.55 5 "quantile" "site-level infection dynamics"
+"4 day ahead inc hosp" "02" 2024-03-18 2024-03-22 0.6 5 "quantile" "site-level infection dynamics"
+"4 day ahead inc hosp" "02" 2024-03-18 2024-03-22 0.65 6 "quantile" "site-level infection dynamics"
+"4 day ahead inc hosp" "02" 2024-03-18 2024-03-22 0.7 6 "quantile" "site-level infection dynamics"
+"4 day ahead inc hosp" "02" 2024-03-18 2024-03-22 0.75 7 "quantile" "site-level infection dynamics"
+"4 day ahead inc hosp" "02" 2024-03-18 2024-03-22 0.8 7 "quantile" "site-level infection dynamics"
+"4 day ahead inc hosp" "02" 2024-03-18 2024-03-22 0.85 7 "quantile" "site-level infection dynamics"
+"4 day ahead inc hosp" "02" 2024-03-18 2024-03-22 0.9 7 "quantile" "site-level infection dynamics"
+"4 day ahead inc hosp" "02" 2024-03-18 2024-03-22 0.95 9 "quantile" "site-level infection dynamics"
+"4 day ahead inc hosp" "02" 2024-03-18 2024-03-22 0.975 9.52499999999999 "quantile" "site-level infection dynamics"
+"4 day ahead inc hosp" "02" 2024-03-18 2024-03-22 0.99 10 "quantile" "site-level infection dynamics"
+"5 day ahead inc hosp" "02" 2024-03-18 2024-03-23 0.01 0 "quantile" "site-level infection dynamics"
+"5 day ahead inc hosp" "02" 2024-03-18 2024-03-23 0.025 0 "quantile" "site-level infection dynamics"
+"5 day ahead inc hosp" "02" 2024-03-18 2024-03-23 0.05 0 "quantile" "site-level infection dynamics"
+"5 day ahead inc hosp" "02" 2024-03-18 2024-03-23 0.1 1 "quantile" "site-level infection dynamics"
+"5 day ahead inc hosp" "02" 2024-03-18 2024-03-23 0.15 1 "quantile" "site-level infection dynamics"
+"5 day ahead inc hosp" "02" 2024-03-18 2024-03-23 0.2 1 "quantile" "site-level infection dynamics"
+"5 day ahead inc hosp" "02" 2024-03-18 2024-03-23 0.25 2 "quantile" "site-level infection dynamics"
+"5 day ahead inc hosp" "02" 2024-03-18 2024-03-23 0.3 2 "quantile" "site-level infection dynamics"
+"5 day ahead inc hosp" "02" 2024-03-18 2024-03-23 0.35 3 "quantile" "site-level infection dynamics"
+"5 day ahead inc hosp" "02" 2024-03-18 2024-03-23 0.4 3 "quantile" "site-level infection dynamics"
+"5 day ahead inc hosp" "02" 2024-03-18 2024-03-23 0.45 3 "quantile" "site-level infection dynamics"
+"5 day ahead inc hosp" "02" 2024-03-18 2024-03-23 0.5 3 "quantile" "site-level infection dynamics"
+"5 day ahead inc hosp" "02" 2024-03-18 2024-03-23 0.55 3.45 "quantile" "site-level infection dynamics"
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+"7 day ahead inc hosp" "25" 2024-03-18 2024-03-25 0.99 33.03 "quantile" "site-level infection dynamics"
+"8 day ahead inc hosp" "25" 2024-03-18 2024-03-26 0.01 3.98 "quantile" "site-level infection dynamics"
+"8 day ahead inc hosp" "25" 2024-03-18 2024-03-26 0.025 6 "quantile" "site-level infection dynamics"
+"8 day ahead inc hosp" "25" 2024-03-18 2024-03-26 0.05 6 "quantile" "site-level infection dynamics"
+"8 day ahead inc hosp" "25" 2024-03-18 2024-03-26 0.1 8 "quantile" "site-level infection dynamics"
+"8 day ahead inc hosp" "25" 2024-03-18 2024-03-26 0.15 9 "quantile" "site-level infection dynamics"
+"8 day ahead inc hosp" "25" 2024-03-18 2024-03-26 0.2 9 "quantile" "site-level infection dynamics"
+"8 day ahead inc hosp" "25" 2024-03-18 2024-03-26 0.25 10 "quantile" "site-level infection dynamics"
+"8 day ahead inc hosp" "25" 2024-03-18 2024-03-26 0.3 11 "quantile" "site-level infection dynamics"
+"8 day ahead inc hosp" "25" 2024-03-18 2024-03-26 0.35 12 "quantile" "site-level infection dynamics"
+"8 day ahead inc hosp" "25" 2024-03-18 2024-03-26 0.4 13 "quantile" "site-level infection dynamics"
+"8 day ahead inc hosp" "25" 2024-03-18 2024-03-26 0.45 14 "quantile" "site-level infection dynamics"
+"8 day ahead inc hosp" "25" 2024-03-18 2024-03-26 0.5 14.5 "quantile" "site-level infection dynamics"
+"8 day ahead inc hosp" "25" 2024-03-18 2024-03-26 0.55 16 "quantile" "site-level infection dynamics"
+"8 day ahead inc hosp" "25" 2024-03-18 2024-03-26 0.6 16.4 "quantile" "site-level infection dynamics"
+"8 day ahead inc hosp" "25" 2024-03-18 2024-03-26 0.65 18 "quantile" "site-level infection dynamics"
+"8 day ahead inc hosp" "25" 2024-03-18 2024-03-26 0.7 19 "quantile" "site-level infection dynamics"
+"8 day ahead inc hosp" "25" 2024-03-18 2024-03-26 0.75 20 "quantile" "site-level infection dynamics"
+"8 day ahead inc hosp" "25" 2024-03-18 2024-03-26 0.8 21.2 "quantile" "site-level infection dynamics"
+"8 day ahead inc hosp" "25" 2024-03-18 2024-03-26 0.85 22.15 "quantile" "site-level infection dynamics"
+"8 day ahead inc hosp" "25" 2024-03-18 2024-03-26 0.9 23 "quantile" "site-level infection dynamics"
+"8 day ahead inc hosp" "25" 2024-03-18 2024-03-26 0.95 28 "quantile" "site-level infection dynamics"
+"8 day ahead inc hosp" "25" 2024-03-18 2024-03-26 0.975 28.525 "quantile" "site-level infection dynamics"
+"8 day ahead inc hosp" "25" 2024-03-18 2024-03-26 0.99 30.04 "quantile" "site-level infection dynamics"
+"9 day ahead inc hosp" "25" 2024-03-18 2024-03-27 0.01 3.99 "quantile" "site-level infection dynamics"
+"9 day ahead inc hosp" "25" 2024-03-18 2024-03-27 0.025 7 "quantile" "site-level infection dynamics"
+"9 day ahead inc hosp" "25" 2024-03-18 2024-03-27 0.05 7.95 "quantile" "site-level infection dynamics"
+"9 day ahead inc hosp" "25" 2024-03-18 2024-03-27 0.1 8.9 "quantile" "site-level infection dynamics"
+"9 day ahead inc hosp" "25" 2024-03-18 2024-03-27 0.15 9.85 "quantile" "site-level infection dynamics"
+"9 day ahead inc hosp" "25" 2024-03-18 2024-03-27 0.2 10 "quantile" "site-level infection dynamics"
+"9 day ahead inc hosp" "25" 2024-03-18 2024-03-27 0.25 11 "quantile" "site-level infection dynamics"
+"9 day ahead inc hosp" "25" 2024-03-18 2024-03-27 0.3 11.7 "quantile" "site-level infection dynamics"
+"9 day ahead inc hosp" "25" 2024-03-18 2024-03-27 0.35 12 "quantile" "site-level infection dynamics"
+"9 day ahead inc hosp" "25" 2024-03-18 2024-03-27 0.4 12 "quantile" "site-level infection dynamics"
+"9 day ahead inc hosp" "25" 2024-03-18 2024-03-27 0.45 13 "quantile" "site-level infection dynamics"
+"9 day ahead inc hosp" "25" 2024-03-18 2024-03-27 0.5 14 "quantile" "site-level infection dynamics"
+"9 day ahead inc hosp" "25" 2024-03-18 2024-03-27 0.55 14.45 "quantile" "site-level infection dynamics"
+"9 day ahead inc hosp" "25" 2024-03-18 2024-03-27 0.6 15 "quantile" "site-level infection dynamics"
+"9 day ahead inc hosp" "25" 2024-03-18 2024-03-27 0.65 16 "quantile" "site-level infection dynamics"
+"9 day ahead inc hosp" "25" 2024-03-18 2024-03-27 0.7 17.3 "quantile" "site-level infection dynamics"
+"9 day ahead inc hosp" "25" 2024-03-18 2024-03-27 0.75 18 "quantile" "site-level infection dynamics"
+"9 day ahead inc hosp" "25" 2024-03-18 2024-03-27 0.8 18.2 "quantile" "site-level infection dynamics"
+"9 day ahead inc hosp" "25" 2024-03-18 2024-03-27 0.85 20 "quantile" "site-level infection dynamics"
+"9 day ahead inc hosp" "25" 2024-03-18 2024-03-27 0.9 23 "quantile" "site-level infection dynamics"
+"9 day ahead inc hosp" "25" 2024-03-18 2024-03-27 0.95 25 "quantile" "site-level infection dynamics"
+"9 day ahead inc hosp" "25" 2024-03-18 2024-03-27 0.975 29.1 "quantile" "site-level infection dynamics"
+"9 day ahead inc hosp" "25" 2024-03-18 2024-03-27 0.99 32.02 "quantile" "site-level infection dynamics"
+"10 day ahead inc hosp" "25" 2024-03-18 2024-03-28 0.01 3.99 "quantile" "site-level infection dynamics"
+"10 day ahead inc hosp" "25" 2024-03-18 2024-03-28 0.025 4.475 "quantile" "site-level infection dynamics"
+"10 day ahead inc hosp" "25" 2024-03-18 2024-03-28 0.05 6.95 "quantile" "site-level infection dynamics"
+"10 day ahead inc hosp" "25" 2024-03-18 2024-03-28 0.1 7 "quantile" "site-level infection dynamics"
+"10 day ahead inc hosp" "25" 2024-03-18 2024-03-28 0.15 8 "quantile" "site-level infection dynamics"
+"10 day ahead inc hosp" "25" 2024-03-18 2024-03-28 0.2 9 "quantile" "site-level infection dynamics"
+"10 day ahead inc hosp" "25" 2024-03-18 2024-03-28 0.25 10 "quantile" "site-level infection dynamics"
+"10 day ahead inc hosp" "25" 2024-03-18 2024-03-28 0.3 11 "quantile" "site-level infection dynamics"
+"10 day ahead inc hosp" "25" 2024-03-18 2024-03-28 0.35 13 "quantile" "site-level infection dynamics"
+"10 day ahead inc hosp" "25" 2024-03-18 2024-03-28 0.4 14 "quantile" "site-level infection dynamics"
+"10 day ahead inc hosp" "25" 2024-03-18 2024-03-28 0.45 15 "quantile" "site-level infection dynamics"
+"10 day ahead inc hosp" "25" 2024-03-18 2024-03-28 0.5 15.5 "quantile" "site-level infection dynamics"
+"10 day ahead inc hosp" "25" 2024-03-18 2024-03-28 0.55 16 "quantile" "site-level infection dynamics"
+"10 day ahead inc hosp" "25" 2024-03-18 2024-03-28 0.6 17 "quantile" "site-level infection dynamics"
+"10 day ahead inc hosp" "25" 2024-03-18 2024-03-28 0.65 18 "quantile" "site-level infection dynamics"
+"10 day ahead inc hosp" "25" 2024-03-18 2024-03-28 0.7 18 "quantile" "site-level infection dynamics"
+"10 day ahead inc hosp" "25" 2024-03-18 2024-03-28 0.75 19 "quantile" "site-level infection dynamics"
+"10 day ahead inc hosp" "25" 2024-03-18 2024-03-28 0.8 21 "quantile" "site-level infection dynamics"
+"10 day ahead inc hosp" "25" 2024-03-18 2024-03-28 0.85 22.15 "quantile" "site-level infection dynamics"
+"10 day ahead inc hosp" "25" 2024-03-18 2024-03-28 0.9 25.2 "quantile" "site-level infection dynamics"
+"10 day ahead inc hosp" "25" 2024-03-18 2024-03-28 0.95 28 "quantile" "site-level infection dynamics"
+"10 day ahead inc hosp" "25" 2024-03-18 2024-03-28 0.975 29.575 "quantile" "site-level infection dynamics"
+"10 day ahead inc hosp" "25" 2024-03-18 2024-03-28 0.99 31 "quantile" "site-level infection dynamics"
+"11 day ahead inc hosp" "25" 2024-03-18 2024-03-29 0.01 5 "quantile" "site-level infection dynamics"
+"11 day ahead inc hosp" "25" 2024-03-18 2024-03-29 0.025 5.475 "quantile" "site-level infection dynamics"
+"11 day ahead inc hosp" "25" 2024-03-18 2024-03-29 0.05 6 "quantile" "site-level infection dynamics"
+"11 day ahead inc hosp" "25" 2024-03-18 2024-03-29 0.1 8 "quantile" "site-level infection dynamics"
+"11 day ahead inc hosp" "25" 2024-03-18 2024-03-29 0.15 9 "quantile" "site-level infection dynamics"
+"11 day ahead inc hosp" "25" 2024-03-18 2024-03-29 0.2 9.8 "quantile" "site-level infection dynamics"
+"11 day ahead inc hosp" "25" 2024-03-18 2024-03-29 0.25 10 "quantile" "site-level infection dynamics"
+"11 day ahead inc hosp" "25" 2024-03-18 2024-03-29 0.3 11 "quantile" "site-level infection dynamics"
+"11 day ahead inc hosp" "25" 2024-03-18 2024-03-29 0.35 12 "quantile" "site-level infection dynamics"
+"11 day ahead inc hosp" "25" 2024-03-18 2024-03-29 0.4 12 "quantile" "site-level infection dynamics"
+"11 day ahead inc hosp" "25" 2024-03-18 2024-03-29 0.45 12.55 "quantile" "site-level infection dynamics"
+"11 day ahead inc hosp" "25" 2024-03-18 2024-03-29 0.5 13 "quantile" "site-level infection dynamics"
+"11 day ahead inc hosp" "25" 2024-03-18 2024-03-29 0.55 14 "quantile" "site-level infection dynamics"
+"11 day ahead inc hosp" "25" 2024-03-18 2024-03-29 0.6 15 "quantile" "site-level infection dynamics"
+"11 day ahead inc hosp" "25" 2024-03-18 2024-03-29 0.65 16 "quantile" "site-level infection dynamics"
+"11 day ahead inc hosp" "25" 2024-03-18 2024-03-29 0.7 16.3 "quantile" "site-level infection dynamics"
+"11 day ahead inc hosp" "25" 2024-03-18 2024-03-29 0.75 17 "quantile" "site-level infection dynamics"
+"11 day ahead inc hosp" "25" 2024-03-18 2024-03-29 0.8 19 "quantile" "site-level infection dynamics"
+"11 day ahead inc hosp" "25" 2024-03-18 2024-03-29 0.85 20 "quantile" "site-level infection dynamics"
+"11 day ahead inc hosp" "25" 2024-03-18 2024-03-29 0.9 21.1 "quantile" "site-level infection dynamics"
+"11 day ahead inc hosp" "25" 2024-03-18 2024-03-29 0.95 26.05 "quantile" "site-level infection dynamics"
+"11 day ahead inc hosp" "25" 2024-03-18 2024-03-29 0.975 27 "quantile" "site-level infection dynamics"
+"11 day ahead inc hosp" "25" 2024-03-18 2024-03-29 0.99 30.04 "quantile" "site-level infection dynamics"
+"12 day ahead inc hosp" "25" 2024-03-18 2024-03-30 0.01 3.99 "quantile" "site-level infection dynamics"
+"12 day ahead inc hosp" "25" 2024-03-18 2024-03-30 0.025 5.475 "quantile" "site-level infection dynamics"
+"12 day ahead inc hosp" "25" 2024-03-18 2024-03-30 0.05 6 "quantile" "site-level infection dynamics"
+"12 day ahead inc hosp" "25" 2024-03-18 2024-03-30 0.1 7 "quantile" "site-level infection dynamics"
+"12 day ahead inc hosp" "25" 2024-03-18 2024-03-30 0.15 7.85 "quantile" "site-level infection dynamics"
+"12 day ahead inc hosp" "25" 2024-03-18 2024-03-30 0.2 8 "quantile" "site-level infection dynamics"
+"12 day ahead inc hosp" "25" 2024-03-18 2024-03-30 0.25 9 "quantile" "site-level infection dynamics"
+"12 day ahead inc hosp" "25" 2024-03-18 2024-03-30 0.3 9 "quantile" "site-level infection dynamics"
+"12 day ahead inc hosp" "25" 2024-03-18 2024-03-30 0.35 9 "quantile" "site-level infection dynamics"
+"12 day ahead inc hosp" "25" 2024-03-18 2024-03-30 0.4 10 "quantile" "site-level infection dynamics"
+"12 day ahead inc hosp" "25" 2024-03-18 2024-03-30 0.45 10.55 "quantile" "site-level infection dynamics"
+"12 day ahead inc hosp" "25" 2024-03-18 2024-03-30 0.5 11.5 "quantile" "site-level infection dynamics"
+"12 day ahead inc hosp" "25" 2024-03-18 2024-03-30 0.55 12 "quantile" "site-level infection dynamics"
+"12 day ahead inc hosp" "25" 2024-03-18 2024-03-30 0.6 12.4 "quantile" "site-level infection dynamics"
+"12 day ahead inc hosp" "25" 2024-03-18 2024-03-30 0.65 13.35 "quantile" "site-level infection dynamics"
+"12 day ahead inc hosp" "25" 2024-03-18 2024-03-30 0.7 14 "quantile" "site-level infection dynamics"
+"12 day ahead inc hosp" "25" 2024-03-18 2024-03-30 0.75 15 "quantile" "site-level infection dynamics"
+"12 day ahead inc hosp" "25" 2024-03-18 2024-03-30 0.8 15.2 "quantile" "site-level infection dynamics"
+"12 day ahead inc hosp" "25" 2024-03-18 2024-03-30 0.85 17 "quantile" "site-level infection dynamics"
+"12 day ahead inc hosp" "25" 2024-03-18 2024-03-30 0.9 21.1 "quantile" "site-level infection dynamics"
+"12 day ahead inc hosp" "25" 2024-03-18 2024-03-30 0.95 24.05 "quantile" "site-level infection dynamics"
+"12 day ahead inc hosp" "25" 2024-03-18 2024-03-30 0.975 26.525 "quantile" "site-level infection dynamics"
+"12 day ahead inc hosp" "25" 2024-03-18 2024-03-30 0.99 31.04 "quantile" "site-level infection dynamics"
+"13 day ahead inc hosp" "25" 2024-03-18 2024-03-31 0.01 2.99 "quantile" "site-level infection dynamics"
+"13 day ahead inc hosp" "25" 2024-03-18 2024-03-31 0.025 3.475 "quantile" "site-level infection dynamics"
+"13 day ahead inc hosp" "25" 2024-03-18 2024-03-31 0.05 4.95 "quantile" "site-level infection dynamics"
+"13 day ahead inc hosp" "25" 2024-03-18 2024-03-31 0.1 6 "quantile" "site-level infection dynamics"
+"13 day ahead inc hosp" "25" 2024-03-18 2024-03-31 0.15 6 "quantile" "site-level infection dynamics"
+"13 day ahead inc hosp" "25" 2024-03-18 2024-03-31 0.2 7 "quantile" "site-level infection dynamics"
+"13 day ahead inc hosp" "25" 2024-03-18 2024-03-31 0.25 8 "quantile" "site-level infection dynamics"
+"13 day ahead inc hosp" "25" 2024-03-18 2024-03-31 0.3 8.7 "quantile" "site-level infection dynamics"
+"13 day ahead inc hosp" "25" 2024-03-18 2024-03-31 0.35 9 "quantile" "site-level infection dynamics"
+"13 day ahead inc hosp" "25" 2024-03-18 2024-03-31 0.4 10 "quantile" "site-level infection dynamics"
+"13 day ahead inc hosp" "25" 2024-03-18 2024-03-31 0.45 11 "quantile" "site-level infection dynamics"
+"13 day ahead inc hosp" "25" 2024-03-18 2024-03-31 0.5 12 "quantile" "site-level infection dynamics"
+"13 day ahead inc hosp" "25" 2024-03-18 2024-03-31 0.55 12 "quantile" "site-level infection dynamics"
+"13 day ahead inc hosp" "25" 2024-03-18 2024-03-31 0.6 13 "quantile" "site-level infection dynamics"
+"13 day ahead inc hosp" "25" 2024-03-18 2024-03-31 0.65 13.35 "quantile" "site-level infection dynamics"
+"13 day ahead inc hosp" "25" 2024-03-18 2024-03-31 0.7 14 "quantile" "site-level infection dynamics"
+"13 day ahead inc hosp" "25" 2024-03-18 2024-03-31 0.75 15 "quantile" "site-level infection dynamics"
+"13 day ahead inc hosp" "25" 2024-03-18 2024-03-31 0.8 17 "quantile" "site-level infection dynamics"
+"13 day ahead inc hosp" "25" 2024-03-18 2024-03-31 0.85 19 "quantile" "site-level infection dynamics"
+"13 day ahead inc hosp" "25" 2024-03-18 2024-03-31 0.9 22.1 "quantile" "site-level infection dynamics"
+"13 day ahead inc hosp" "25" 2024-03-18 2024-03-31 0.95 24 "quantile" "site-level infection dynamics"
+"13 day ahead inc hosp" "25" 2024-03-18 2024-03-31 0.975 26 "quantile" "site-level infection dynamics"
+"13 day ahead inc hosp" "25" 2024-03-18 2024-03-31 0.99 26.08 "quantile" "site-level infection dynamics"
+"14 day ahead inc hosp" "25" 2024-03-18 2024-04-01 0.01 3.99 "quantile" "site-level infection dynamics"
+"14 day ahead inc hosp" "25" 2024-03-18 2024-04-01 0.025 5 "quantile" "site-level infection dynamics"
+"14 day ahead inc hosp" "25" 2024-03-18 2024-04-01 0.05 5 "quantile" "site-level infection dynamics"
+"14 day ahead inc hosp" "25" 2024-03-18 2024-04-01 0.1 6 "quantile" "site-level infection dynamics"
+"14 day ahead inc hosp" "25" 2024-03-18 2024-04-01 0.15 7 "quantile" "site-level infection dynamics"
+"14 day ahead inc hosp" "25" 2024-03-18 2024-04-01 0.2 7 "quantile" "site-level infection dynamics"
+"14 day ahead inc hosp" "25" 2024-03-18 2024-04-01 0.25 8 "quantile" "site-level infection dynamics"
+"14 day ahead inc hosp" "25" 2024-03-18 2024-04-01 0.3 9 "quantile" "site-level infection dynamics"
+"14 day ahead inc hosp" "25" 2024-03-18 2024-04-01 0.35 10 "quantile" "site-level infection dynamics"
+"14 day ahead inc hosp" "25" 2024-03-18 2024-04-01 0.4 11 "quantile" "site-level infection dynamics"
+"14 day ahead inc hosp" "25" 2024-03-18 2024-04-01 0.45 12 "quantile" "site-level infection dynamics"
+"14 day ahead inc hosp" "25" 2024-03-18 2024-04-01 0.5 12 "quantile" "site-level infection dynamics"
+"14 day ahead inc hosp" "25" 2024-03-18 2024-04-01 0.55 13 "quantile" "site-level infection dynamics"
+"14 day ahead inc hosp" "25" 2024-03-18 2024-04-01 0.6 14 "quantile" "site-level infection dynamics"
+"14 day ahead inc hosp" "25" 2024-03-18 2024-04-01 0.65 15.35 "quantile" "site-level infection dynamics"
+"14 day ahead inc hosp" "25" 2024-03-18 2024-04-01 0.7 16 "quantile" "site-level infection dynamics"
+"14 day ahead inc hosp" "25" 2024-03-18 2024-04-01 0.75 17 "quantile" "site-level infection dynamics"
+"14 day ahead inc hosp" "25" 2024-03-18 2024-04-01 0.8 18.2 "quantile" "site-level infection dynamics"
+"14 day ahead inc hosp" "25" 2024-03-18 2024-04-01 0.85 20.15 "quantile" "site-level infection dynamics"
+"14 day ahead inc hosp" "25" 2024-03-18 2024-04-01 0.9 23.1 "quantile" "site-level infection dynamics"
+"14 day ahead inc hosp" "25" 2024-03-18 2024-04-01 0.95 25.1 "quantile" "site-level infection dynamics"
+"14 day ahead inc hosp" "25" 2024-03-18 2024-04-01 0.975 27.525 "quantile" "site-level infection dynamics"
+"14 day ahead inc hosp" "25" 2024-03-18 2024-04-01 0.99 30.1000000000001 "quantile" "site-level infection dynamics"
+"15 day ahead inc hosp" "25" 2024-03-18 2024-04-02 0.01 2.99 "quantile" "site-level infection dynamics"
+"15 day ahead inc hosp" "25" 2024-03-18 2024-04-02 0.025 4 "quantile" "site-level infection dynamics"
+"15 day ahead inc hosp" "25" 2024-03-18 2024-04-02 0.05 5.95 "quantile" "site-level infection dynamics"
+"15 day ahead inc hosp" "25" 2024-03-18 2024-04-02 0.1 6 "quantile" "site-level infection dynamics"
+"15 day ahead inc hosp" "25" 2024-03-18 2024-04-02 0.15 7 "quantile" "site-level infection dynamics"
+"15 day ahead inc hosp" "25" 2024-03-18 2024-04-02 0.2 8 "quantile" "site-level infection dynamics"
+"15 day ahead inc hosp" "25" 2024-03-18 2024-04-02 0.25 8 "quantile" "site-level infection dynamics"
+"15 day ahead inc hosp" "25" 2024-03-18 2024-04-02 0.3 9 "quantile" "site-level infection dynamics"
+"15 day ahead inc hosp" "25" 2024-03-18 2024-04-02 0.35 9 "quantile" "site-level infection dynamics"
+"15 day ahead inc hosp" "25" 2024-03-18 2024-04-02 0.4 10 "quantile" "site-level infection dynamics"
+"15 day ahead inc hosp" "25" 2024-03-18 2024-04-02 0.45 10 "quantile" "site-level infection dynamics"
+"15 day ahead inc hosp" "25" 2024-03-18 2024-04-02 0.5 11 "quantile" "site-level infection dynamics"
+"15 day ahead inc hosp" "25" 2024-03-18 2024-04-02 0.55 11.45 "quantile" "site-level infection dynamics"
+"15 day ahead inc hosp" "25" 2024-03-18 2024-04-02 0.6 12 "quantile" "site-level infection dynamics"
+"15 day ahead inc hosp" "25" 2024-03-18 2024-04-02 0.65 13 "quantile" "site-level infection dynamics"
+"15 day ahead inc hosp" "25" 2024-03-18 2024-04-02 0.7 13 "quantile" "site-level infection dynamics"
+"15 day ahead inc hosp" "25" 2024-03-18 2024-04-02 0.75 14 "quantile" "site-level infection dynamics"
+"15 day ahead inc hosp" "25" 2024-03-18 2024-04-02 0.8 15 "quantile" "site-level infection dynamics"
+"15 day ahead inc hosp" "25" 2024-03-18 2024-04-02 0.85 16 "quantile" "site-level infection dynamics"
+"15 day ahead inc hosp" "25" 2024-03-18 2024-04-02 0.9 17.1 "quantile" "site-level infection dynamics"
+"15 day ahead inc hosp" "25" 2024-03-18 2024-04-02 0.95 21.05 "quantile" "site-level infection dynamics"
+"15 day ahead inc hosp" "25" 2024-03-18 2024-04-02 0.975 24 "quantile" "site-level infection dynamics"
+"15 day ahead inc hosp" "25" 2024-03-18 2024-04-02 0.99 25.1500000000001 "quantile" "site-level infection dynamics"
+"16 day ahead inc hosp" "25" 2024-03-18 2024-04-03 0.01 3.98 "quantile" "site-level infection dynamics"
+"16 day ahead inc hosp" "25" 2024-03-18 2024-04-03 0.025 4 "quantile" "site-level infection dynamics"
+"16 day ahead inc hosp" "25" 2024-03-18 2024-04-03 0.05 4 "quantile" "site-level infection dynamics"
+"16 day ahead inc hosp" "25" 2024-03-18 2024-04-03 0.1 5 "quantile" "site-level infection dynamics"
+"16 day ahead inc hosp" "25" 2024-03-18 2024-04-03 0.15 6 "quantile" "site-level infection dynamics"
+"16 day ahead inc hosp" "25" 2024-03-18 2024-04-03 0.2 7 "quantile" "site-level infection dynamics"
+"16 day ahead inc hosp" "25" 2024-03-18 2024-04-03 0.25 8 "quantile" "site-level infection dynamics"
+"16 day ahead inc hosp" "25" 2024-03-18 2024-04-03 0.3 8.7 "quantile" "site-level infection dynamics"
+"16 day ahead inc hosp" "25" 2024-03-18 2024-04-03 0.35 9 "quantile" "site-level infection dynamics"
+"16 day ahead inc hosp" "25" 2024-03-18 2024-04-03 0.4 10 "quantile" "site-level infection dynamics"
+"16 day ahead inc hosp" "25" 2024-03-18 2024-04-03 0.45 11 "quantile" "site-level infection dynamics"
+"16 day ahead inc hosp" "25" 2024-03-18 2024-04-03 0.5 11 "quantile" "site-level infection dynamics"
+"16 day ahead inc hosp" "25" 2024-03-18 2024-04-03 0.55 12 "quantile" "site-level infection dynamics"
+"16 day ahead inc hosp" "25" 2024-03-18 2024-04-03 0.6 13 "quantile" "site-level infection dynamics"
+"16 day ahead inc hosp" "25" 2024-03-18 2024-04-03 0.65 13 "quantile" "site-level infection dynamics"
+"16 day ahead inc hosp" "25" 2024-03-18 2024-04-03 0.7 14 "quantile" "site-level infection dynamics"
+"16 day ahead inc hosp" "25" 2024-03-18 2024-04-03 0.75 15 "quantile" "site-level infection dynamics"
+"16 day ahead inc hosp" "25" 2024-03-18 2024-04-03 0.8 16 "quantile" "site-level infection dynamics"
+"16 day ahead inc hosp" "25" 2024-03-18 2024-04-03 0.85 17 "quantile" "site-level infection dynamics"
+"16 day ahead inc hosp" "25" 2024-03-18 2024-04-03 0.9 19.1 "quantile" "site-level infection dynamics"
+"16 day ahead inc hosp" "25" 2024-03-18 2024-04-03 0.95 23.05 "quantile" "site-level infection dynamics"
+"16 day ahead inc hosp" "25" 2024-03-18 2024-04-03 0.975 24 "quantile" "site-level infection dynamics"
+"16 day ahead inc hosp" "25" 2024-03-18 2024-04-03 0.99 28.05 "quantile" "site-level infection dynamics"
+"17 day ahead inc hosp" "25" 2024-03-18 2024-04-04 0.01 3.99 "quantile" "site-level infection dynamics"
+"17 day ahead inc hosp" "25" 2024-03-18 2024-04-04 0.025 4 "quantile" "site-level infection dynamics"
+"17 day ahead inc hosp" "25" 2024-03-18 2024-04-04 0.05 5 "quantile" "site-level infection dynamics"
+"17 day ahead inc hosp" "25" 2024-03-18 2024-04-04 0.1 6 "quantile" "site-level infection dynamics"
+"17 day ahead inc hosp" "25" 2024-03-18 2024-04-04 0.15 8 "quantile" "site-level infection dynamics"
+"17 day ahead inc hosp" "25" 2024-03-18 2024-04-04 0.2 8 "quantile" "site-level infection dynamics"
+"17 day ahead inc hosp" "25" 2024-03-18 2024-04-04 0.25 9 "quantile" "site-level infection dynamics"
+"17 day ahead inc hosp" "25" 2024-03-18 2024-04-04 0.3 10 "quantile" "site-level infection dynamics"
+"17 day ahead inc hosp" "25" 2024-03-18 2024-04-04 0.35 10 "quantile" "site-level infection dynamics"
+"17 day ahead inc hosp" "25" 2024-03-18 2024-04-04 0.4 10 "quantile" "site-level infection dynamics"
+"17 day ahead inc hosp" "25" 2024-03-18 2024-04-04 0.45 11 "quantile" "site-level infection dynamics"
+"17 day ahead inc hosp" "25" 2024-03-18 2024-04-04 0.5 12 "quantile" "site-level infection dynamics"
+"17 day ahead inc hosp" "25" 2024-03-18 2024-04-04 0.55 13 "quantile" "site-level infection dynamics"
+"17 day ahead inc hosp" "25" 2024-03-18 2024-04-04 0.6 14 "quantile" "site-level infection dynamics"
+"17 day ahead inc hosp" "25" 2024-03-18 2024-04-04 0.65 14.35 "quantile" "site-level infection dynamics"
+"17 day ahead inc hosp" "25" 2024-03-18 2024-04-04 0.7 16 "quantile" "site-level infection dynamics"
+"17 day ahead inc hosp" "25" 2024-03-18 2024-04-04 0.75 16 "quantile" "site-level infection dynamics"
+"17 day ahead inc hosp" "25" 2024-03-18 2024-04-04 0.8 18 "quantile" "site-level infection dynamics"
+"17 day ahead inc hosp" "25" 2024-03-18 2024-04-04 0.85 20 "quantile" "site-level infection dynamics"
+"17 day ahead inc hosp" "25" 2024-03-18 2024-04-04 0.9 23 "quantile" "site-level infection dynamics"
+"17 day ahead inc hosp" "25" 2024-03-18 2024-04-04 0.95 25.1 "quantile" "site-level infection dynamics"
+"17 day ahead inc hosp" "25" 2024-03-18 2024-04-04 0.975 30.05 "quantile" "site-level infection dynamics"
+"17 day ahead inc hosp" "25" 2024-03-18 2024-04-04 0.99 32.03 "quantile" "site-level infection dynamics"
+"18 day ahead inc hosp" "25" 2024-03-18 2024-04-05 0.01 1 "quantile" "site-level infection dynamics"
+"18 day ahead inc hosp" "25" 2024-03-18 2024-04-05 0.025 3 "quantile" "site-level infection dynamics"
+"18 day ahead inc hosp" "25" 2024-03-18 2024-04-05 0.05 3 "quantile" "site-level infection dynamics"
+"18 day ahead inc hosp" "25" 2024-03-18 2024-04-05 0.1 4 "quantile" "site-level infection dynamics"
+"18 day ahead inc hosp" "25" 2024-03-18 2024-04-05 0.15 5 "quantile" "site-level infection dynamics"
+"18 day ahead inc hosp" "25" 2024-03-18 2024-04-05 0.2 6 "quantile" "site-level infection dynamics"
+"18 day ahead inc hosp" "25" 2024-03-18 2024-04-05 0.25 7 "quantile" "site-level infection dynamics"
+"18 day ahead inc hosp" "25" 2024-03-18 2024-04-05 0.3 7 "quantile" "site-level infection dynamics"
+"18 day ahead inc hosp" "25" 2024-03-18 2024-04-05 0.35 8 "quantile" "site-level infection dynamics"
+"18 day ahead inc hosp" "25" 2024-03-18 2024-04-05 0.4 8.6 "quantile" "site-level infection dynamics"
+"18 day ahead inc hosp" "25" 2024-03-18 2024-04-05 0.45 9 "quantile" "site-level infection dynamics"
+"18 day ahead inc hosp" "25" 2024-03-18 2024-04-05 0.5 10 "quantile" "site-level infection dynamics"
+"18 day ahead inc hosp" "25" 2024-03-18 2024-04-05 0.55 10.45 "quantile" "site-level infection dynamics"
+"18 day ahead inc hosp" "25" 2024-03-18 2024-04-05 0.6 11 "quantile" "site-level infection dynamics"
+"18 day ahead inc hosp" "25" 2024-03-18 2024-04-05 0.65 12 "quantile" "site-level infection dynamics"
+"18 day ahead inc hosp" "25" 2024-03-18 2024-04-05 0.7 13.3 "quantile" "site-level infection dynamics"
+"18 day ahead inc hosp" "25" 2024-03-18 2024-04-05 0.75 15 "quantile" "site-level infection dynamics"
+"18 day ahead inc hosp" "25" 2024-03-18 2024-04-05 0.8 15 "quantile" "site-level infection dynamics"
+"18 day ahead inc hosp" "25" 2024-03-18 2024-04-05 0.85 16.15 "quantile" "site-level infection dynamics"
+"18 day ahead inc hosp" "25" 2024-03-18 2024-04-05 0.9 18 "quantile" "site-level infection dynamics"
+"18 day ahead inc hosp" "25" 2024-03-18 2024-04-05 0.95 22.1 "quantile" "site-level infection dynamics"
+"18 day ahead inc hosp" "25" 2024-03-18 2024-04-05 0.975 26.575 "quantile" "site-level infection dynamics"
+"18 day ahead inc hosp" "25" 2024-03-18 2024-04-05 0.99 32.05 "quantile" "site-level infection dynamics"
+"19 day ahead inc hosp" "25" 2024-03-18 2024-04-06 0.01 1 "quantile" "site-level infection dynamics"
+"19 day ahead inc hosp" "25" 2024-03-18 2024-04-06 0.025 1.475 "quantile" "site-level infection dynamics"
+"19 day ahead inc hosp" "25" 2024-03-18 2024-04-06 0.05 3 "quantile" "site-level infection dynamics"
+"19 day ahead inc hosp" "25" 2024-03-18 2024-04-06 0.1 4 "quantile" "site-level infection dynamics"
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+"19 day ahead inc hosp" "25" 2024-03-18 2024-04-06 0.25 6 "quantile" "site-level infection dynamics"
+"19 day ahead inc hosp" "25" 2024-03-18 2024-04-06 0.3 7 "quantile" "site-level infection dynamics"
+"19 day ahead inc hosp" "25" 2024-03-18 2024-04-06 0.35 7 "quantile" "site-level infection dynamics"
+"19 day ahead inc hosp" "25" 2024-03-18 2024-04-06 0.4 8 "quantile" "site-level infection dynamics"
+"19 day ahead inc hosp" "25" 2024-03-18 2024-04-06 0.45 8 "quantile" "site-level infection dynamics"
+"19 day ahead inc hosp" "25" 2024-03-18 2024-04-06 0.5 9 "quantile" "site-level infection dynamics"
+"19 day ahead inc hosp" "25" 2024-03-18 2024-04-06 0.55 9 "quantile" "site-level infection dynamics"
+"19 day ahead inc hosp" "25" 2024-03-18 2024-04-06 0.6 10 "quantile" "site-level infection dynamics"
+"19 day ahead inc hosp" "25" 2024-03-18 2024-04-06 0.65 11 "quantile" "site-level infection dynamics"
+"19 day ahead inc hosp" "25" 2024-03-18 2024-04-06 0.7 11.3 "quantile" "site-level infection dynamics"
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+"19 day ahead inc hosp" "25" 2024-03-18 2024-04-06 0.8 15 "quantile" "site-level infection dynamics"
+"19 day ahead inc hosp" "25" 2024-03-18 2024-04-06 0.85 16.15 "quantile" "site-level infection dynamics"
+"19 day ahead inc hosp" "25" 2024-03-18 2024-04-06 0.9 18.1 "quantile" "site-level infection dynamics"
+"19 day ahead inc hosp" "25" 2024-03-18 2024-04-06 0.95 20 "quantile" "site-level infection dynamics"
+"19 day ahead inc hosp" "25" 2024-03-18 2024-04-06 0.975 23 "quantile" "site-level infection dynamics"
+"19 day ahead inc hosp" "25" 2024-03-18 2024-04-06 0.99 26.01 "quantile" "site-level infection dynamics"
+"20 day ahead inc hosp" "25" 2024-03-18 2024-04-07 0.01 0 "quantile" "site-level infection dynamics"
+"20 day ahead inc hosp" "25" 2024-03-18 2024-04-07 0.025 1.475 "quantile" "site-level infection dynamics"
+"20 day ahead inc hosp" "25" 2024-03-18 2024-04-07 0.05 2.95 "quantile" "site-level infection dynamics"
+"20 day ahead inc hosp" "25" 2024-03-18 2024-04-07 0.1 4.9 "quantile" "site-level infection dynamics"
+"20 day ahead inc hosp" "25" 2024-03-18 2024-04-07 0.15 5 "quantile" "site-level infection dynamics"
+"20 day ahead inc hosp" "25" 2024-03-18 2024-04-07 0.2 5.8 "quantile" "site-level infection dynamics"
+"20 day ahead inc hosp" "25" 2024-03-18 2024-04-07 0.25 6 "quantile" "site-level infection dynamics"
+"20 day ahead inc hosp" "25" 2024-03-18 2024-04-07 0.3 7 "quantile" "site-level infection dynamics"
+"20 day ahead inc hosp" "25" 2024-03-18 2024-04-07 0.35 7 "quantile" "site-level infection dynamics"
+"20 day ahead inc hosp" "25" 2024-03-18 2024-04-07 0.4 8 "quantile" "site-level infection dynamics"
+"20 day ahead inc hosp" "25" 2024-03-18 2024-04-07 0.45 9 "quantile" "site-level infection dynamics"
+"20 day ahead inc hosp" "25" 2024-03-18 2024-04-07 0.5 9 "quantile" "site-level infection dynamics"
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+"20 day ahead inc hosp" "25" 2024-03-18 2024-04-07 0.7 13 "quantile" "site-level infection dynamics"
+"20 day ahead inc hosp" "25" 2024-03-18 2024-04-07 0.75 13 "quantile" "site-level infection dynamics"
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+"20 day ahead inc hosp" "25" 2024-03-18 2024-04-07 0.9 19.2 "quantile" "site-level infection dynamics"
+"20 day ahead inc hosp" "25" 2024-03-18 2024-04-07 0.95 23.05 "quantile" "site-level infection dynamics"
+"20 day ahead inc hosp" "25" 2024-03-18 2024-04-07 0.975 26.05 "quantile" "site-level infection dynamics"
+"20 day ahead inc hosp" "25" 2024-03-18 2024-04-07 0.99 31.04 "quantile" "site-level infection dynamics"
+"21 day ahead inc hosp" "25" 2024-03-18 2024-04-08 0.01 1.99 "quantile" "site-level infection dynamics"
+"21 day ahead inc hosp" "25" 2024-03-18 2024-04-08 0.025 2 "quantile" "site-level infection dynamics"
+"21 day ahead inc hosp" "25" 2024-03-18 2024-04-08 0.05 2.95 "quantile" "site-level infection dynamics"
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+"21 day ahead inc hosp" "25" 2024-03-18 2024-04-08 0.15 4 "quantile" "site-level infection dynamics"
+"21 day ahead inc hosp" "25" 2024-03-18 2024-04-08 0.2 5.8 "quantile" "site-level infection dynamics"
+"21 day ahead inc hosp" "25" 2024-03-18 2024-04-08 0.25 6.75 "quantile" "site-level infection dynamics"
+"21 day ahead inc hosp" "25" 2024-03-18 2024-04-08 0.3 7 "quantile" "site-level infection dynamics"
+"21 day ahead inc hosp" "25" 2024-03-18 2024-04-08 0.35 7.65000000000001 "quantile" "site-level infection dynamics"
+"21 day ahead inc hosp" "25" 2024-03-18 2024-04-08 0.4 8 "quantile" "site-level infection dynamics"
+"21 day ahead inc hosp" "25" 2024-03-18 2024-04-08 0.45 9 "quantile" "site-level infection dynamics"
+"21 day ahead inc hosp" "25" 2024-03-18 2024-04-08 0.5 9.5 "quantile" "site-level infection dynamics"
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+"21 day ahead inc hosp" "25" 2024-03-18 2024-04-08 0.6 11.4 "quantile" "site-level infection dynamics"
+"21 day ahead inc hosp" "25" 2024-03-18 2024-04-08 0.65 14 "quantile" "site-level infection dynamics"
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+"21 day ahead inc hosp" "25" 2024-03-18 2024-04-08 0.75 16 "quantile" "site-level infection dynamics"
+"21 day ahead inc hosp" "25" 2024-03-18 2024-04-08 0.8 17 "quantile" "site-level infection dynamics"
+"21 day ahead inc hosp" "25" 2024-03-18 2024-04-08 0.85 17.15 "quantile" "site-level infection dynamics"
+"21 day ahead inc hosp" "25" 2024-03-18 2024-04-08 0.9 20.1 "quantile" "site-level infection dynamics"
+"21 day ahead inc hosp" "25" 2024-03-18 2024-04-08 0.95 24.15 "quantile" "site-level infection dynamics"
+"21 day ahead inc hosp" "25" 2024-03-18 2024-04-08 0.975 27.525 "quantile" "site-level infection dynamics"
+"21 day ahead inc hosp" "25" 2024-03-18 2024-04-08 0.99 32.04 "quantile" "site-level infection dynamics"
+"22 day ahead inc hosp" "25" 2024-03-18 2024-04-09 0.01 0.99 "quantile" "site-level infection dynamics"
+"22 day ahead inc hosp" "25" 2024-03-18 2024-04-09 0.025 1 "quantile" "site-level infection dynamics"
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+"22 day ahead inc hosp" "25" 2024-03-18 2024-04-09 0.25 6 "quantile" "site-level infection dynamics"
+"22 day ahead inc hosp" "25" 2024-03-18 2024-04-09 0.3 7 "quantile" "site-level infection dynamics"
+"22 day ahead inc hosp" "25" 2024-03-18 2024-04-09 0.35 8 "quantile" "site-level infection dynamics"
+"22 day ahead inc hosp" "25" 2024-03-18 2024-04-09 0.4 8.6 "quantile" "site-level infection dynamics"
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+"22 day ahead inc hosp" "25" 2024-03-18 2024-04-09 0.55 11 "quantile" "site-level infection dynamics"
+"22 day ahead inc hosp" "25" 2024-03-18 2024-04-09 0.6 11.4 "quantile" "site-level infection dynamics"
+"22 day ahead inc hosp" "25" 2024-03-18 2024-04-09 0.65 12 "quantile" "site-level infection dynamics"
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+"22 day ahead inc hosp" "25" 2024-03-18 2024-04-09 0.9 20 "quantile" "site-level infection dynamics"
+"22 day ahead inc hosp" "25" 2024-03-18 2024-04-09 0.95 24 "quantile" "site-level infection dynamics"
+"22 day ahead inc hosp" "25" 2024-03-18 2024-04-09 0.975 26.05 "quantile" "site-level infection dynamics"
+"22 day ahead inc hosp" "25" 2024-03-18 2024-04-09 0.99 28.1000000000001 "quantile" "site-level infection dynamics"
+"23 day ahead inc hosp" "25" 2024-03-18 2024-04-10 0.01 1.99 "quantile" "site-level infection dynamics"
+"23 day ahead inc hosp" "25" 2024-03-18 2024-04-10 0.025 2 "quantile" "site-level infection dynamics"
+"23 day ahead inc hosp" "25" 2024-03-18 2024-04-10 0.05 2.95 "quantile" "site-level infection dynamics"
+"23 day ahead inc hosp" "25" 2024-03-18 2024-04-10 0.1 3.9 "quantile" "site-level infection dynamics"
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+"23 day ahead inc hosp" "25" 2024-03-18 2024-04-10 0.2 4.8 "quantile" "site-level infection dynamics"
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+"23 day ahead inc hosp" "25" 2024-03-18 2024-04-10 0.4 7.6 "quantile" "site-level infection dynamics"
+"23 day ahead inc hosp" "25" 2024-03-18 2024-04-10 0.45 8 "quantile" "site-level infection dynamics"
+"23 day ahead inc hosp" "25" 2024-03-18 2024-04-10 0.5 9 "quantile" "site-level infection dynamics"
+"23 day ahead inc hosp" "25" 2024-03-18 2024-04-10 0.55 9 "quantile" "site-level infection dynamics"
+"23 day ahead inc hosp" "25" 2024-03-18 2024-04-10 0.6 10.4 "quantile" "site-level infection dynamics"
+"23 day ahead inc hosp" "25" 2024-03-18 2024-04-10 0.65 11 "quantile" "site-level infection dynamics"
+"23 day ahead inc hosp" "25" 2024-03-18 2024-04-10 0.7 13 "quantile" "site-level infection dynamics"
+"23 day ahead inc hosp" "25" 2024-03-18 2024-04-10 0.75 13.25 "quantile" "site-level infection dynamics"
+"23 day ahead inc hosp" "25" 2024-03-18 2024-04-10 0.8 15 "quantile" "site-level infection dynamics"
+"23 day ahead inc hosp" "25" 2024-03-18 2024-04-10 0.85 17 "quantile" "site-level infection dynamics"
+"23 day ahead inc hosp" "25" 2024-03-18 2024-04-10 0.9 18.1 "quantile" "site-level infection dynamics"
+"23 day ahead inc hosp" "25" 2024-03-18 2024-04-10 0.95 23.05 "quantile" "site-level infection dynamics"
+"23 day ahead inc hosp" "25" 2024-03-18 2024-04-10 0.975 27.1 "quantile" "site-level infection dynamics"
+"23 day ahead inc hosp" "25" 2024-03-18 2024-04-10 0.99 30.06 "quantile" "site-level infection dynamics"
+"24 day ahead inc hosp" "25" 2024-03-18 2024-04-11 0.01 2.99 "quantile" "site-level infection dynamics"
+"24 day ahead inc hosp" "25" 2024-03-18 2024-04-11 0.025 4 "quantile" "site-level infection dynamics"
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+"24 day ahead inc hosp" "25" 2024-03-18 2024-04-11 0.1 4.9 "quantile" "site-level infection dynamics"
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+"24 day ahead inc hosp" "25" 2024-03-18 2024-04-11 0.25 6.75 "quantile" "site-level infection dynamics"
+"24 day ahead inc hosp" "25" 2024-03-18 2024-04-11 0.3 7 "quantile" "site-level infection dynamics"
+"24 day ahead inc hosp" "25" 2024-03-18 2024-04-11 0.35 8 "quantile" "site-level infection dynamics"
+"24 day ahead inc hosp" "25" 2024-03-18 2024-04-11 0.4 9 "quantile" "site-level infection dynamics"
+"24 day ahead inc hosp" "25" 2024-03-18 2024-04-11 0.45 9 "quantile" "site-level infection dynamics"
+"24 day ahead inc hosp" "25" 2024-03-18 2024-04-11 0.5 10 "quantile" "site-level infection dynamics"
+"24 day ahead inc hosp" "25" 2024-03-18 2024-04-11 0.55 11 "quantile" "site-level infection dynamics"
+"24 day ahead inc hosp" "25" 2024-03-18 2024-04-11 0.6 12 "quantile" "site-level infection dynamics"
+"24 day ahead inc hosp" "25" 2024-03-18 2024-04-11 0.65 13 "quantile" "site-level infection dynamics"
+"24 day ahead inc hosp" "25" 2024-03-18 2024-04-11 0.7 14 "quantile" "site-level infection dynamics"
+"24 day ahead inc hosp" "25" 2024-03-18 2024-04-11 0.75 14.25 "quantile" "site-level infection dynamics"
+"24 day ahead inc hosp" "25" 2024-03-18 2024-04-11 0.8 16.2 "quantile" "site-level infection dynamics"
+"24 day ahead inc hosp" "25" 2024-03-18 2024-04-11 0.85 18 "quantile" "site-level infection dynamics"
+"24 day ahead inc hosp" "25" 2024-03-18 2024-04-11 0.9 19.1 "quantile" "site-level infection dynamics"
+"24 day ahead inc hosp" "25" 2024-03-18 2024-04-11 0.95 24 "quantile" "site-level infection dynamics"
+"24 day ahead inc hosp" "25" 2024-03-18 2024-04-11 0.975 28.525 "quantile" "site-level infection dynamics"
+"24 day ahead inc hosp" "25" 2024-03-18 2024-04-11 0.99 33.01 "quantile" "site-level infection dynamics"
+"25 day ahead inc hosp" "25" 2024-03-18 2024-04-12 0.01 1 "quantile" "site-level infection dynamics"
+"25 day ahead inc hosp" "25" 2024-03-18 2024-04-12 0.025 1 "quantile" "site-level infection dynamics"
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+"25 day ahead inc hosp" "25" 2024-03-18 2024-04-12 0.2 4 "quantile" "site-level infection dynamics"
+"25 day ahead inc hosp" "25" 2024-03-18 2024-04-12 0.25 5 "quantile" "site-level infection dynamics"
+"25 day ahead inc hosp" "25" 2024-03-18 2024-04-12 0.3 6 "quantile" "site-level infection dynamics"
+"25 day ahead inc hosp" "25" 2024-03-18 2024-04-12 0.35 6.65000000000001 "quantile" "site-level infection dynamics"
+"25 day ahead inc hosp" "25" 2024-03-18 2024-04-12 0.4 7 "quantile" "site-level infection dynamics"
+"25 day ahead inc hosp" "25" 2024-03-18 2024-04-12 0.45 8 "quantile" "site-level infection dynamics"
+"25 day ahead inc hosp" "25" 2024-03-18 2024-04-12 0.5 9 "quantile" "site-level infection dynamics"
+"25 day ahead inc hosp" "25" 2024-03-18 2024-04-12 0.55 10 "quantile" "site-level infection dynamics"
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+"3 day ahead inc hosp" "27" 2024-03-18 2024-03-21 0.45 21 "quantile" "site-level infection dynamics"
+"3 day ahead inc hosp" "27" 2024-03-18 2024-03-21 0.5 22 "quantile" "site-level infection dynamics"
+"3 day ahead inc hosp" "27" 2024-03-18 2024-03-21 0.55 23 "quantile" "site-level infection dynamics"
+"3 day ahead inc hosp" "27" 2024-03-18 2024-03-21 0.6 24 "quantile" "site-level infection dynamics"
+"3 day ahead inc hosp" "27" 2024-03-18 2024-03-21 0.65 25 "quantile" "site-level infection dynamics"
+"3 day ahead inc hosp" "27" 2024-03-18 2024-03-21 0.7 26 "quantile" "site-level infection dynamics"
+"3 day ahead inc hosp" "27" 2024-03-18 2024-03-21 0.75 26.25 "quantile" "site-level infection dynamics"
+"3 day ahead inc hosp" "27" 2024-03-18 2024-03-21 0.8 28 "quantile" "site-level infection dynamics"
+"3 day ahead inc hosp" "27" 2024-03-18 2024-03-21 0.85 29 "quantile" "site-level infection dynamics"
+"3 day ahead inc hosp" "27" 2024-03-18 2024-03-21 0.9 31.1 "quantile" "site-level infection dynamics"
+"3 day ahead inc hosp" "27" 2024-03-18 2024-03-21 0.95 36 "quantile" "site-level infection dynamics"
+"3 day ahead inc hosp" "27" 2024-03-18 2024-03-21 0.975 37.525 "quantile" "site-level infection dynamics"
+"3 day ahead inc hosp" "27" 2024-03-18 2024-03-21 0.99 40 "quantile" "site-level infection dynamics"
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+"4 day ahead inc hosp" "27" 2024-03-18 2024-03-22 0.025 12.475 "quantile" "site-level infection dynamics"
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+"4 day ahead inc hosp" "27" 2024-03-18 2024-03-22 0.35 20.65 "quantile" "site-level infection dynamics"
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+"4 day ahead inc hosp" "27" 2024-03-18 2024-03-22 0.9 32.1 "quantile" "site-level infection dynamics"
+"4 day ahead inc hosp" "27" 2024-03-18 2024-03-22 0.95 36.05 "quantile" "site-level infection dynamics"
+"4 day ahead inc hosp" "27" 2024-03-18 2024-03-22 0.975 38 "quantile" "site-level infection dynamics"
+"4 day ahead inc hosp" "27" 2024-03-18 2024-03-22 0.99 39.09 "quantile" "site-level infection dynamics"
+"5 day ahead inc hosp" "27" 2024-03-18 2024-03-23 0.01 6.97 "quantile" "site-level infection dynamics"
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+"12 day ahead inc hosp" "27" 2024-03-18 2024-03-30 0.3 13 "quantile" "site-level infection dynamics"
+"12 day ahead inc hosp" "27" 2024-03-18 2024-03-30 0.35 13 "quantile" "site-level infection dynamics"
+"12 day ahead inc hosp" "27" 2024-03-18 2024-03-30 0.4 14 "quantile" "site-level infection dynamics"
+"12 day ahead inc hosp" "27" 2024-03-18 2024-03-30 0.45 15 "quantile" "site-level infection dynamics"
+"12 day ahead inc hosp" "27" 2024-03-18 2024-03-30 0.5 15 "quantile" "site-level infection dynamics"
+"12 day ahead inc hosp" "27" 2024-03-18 2024-03-30 0.55 16 "quantile" "site-level infection dynamics"
+"12 day ahead inc hosp" "27" 2024-03-18 2024-03-30 0.6 17 "quantile" "site-level infection dynamics"
+"12 day ahead inc hosp" "27" 2024-03-18 2024-03-30 0.65 18 "quantile" "site-level infection dynamics"
+"12 day ahead inc hosp" "27" 2024-03-18 2024-03-30 0.7 19 "quantile" "site-level infection dynamics"
+"12 day ahead inc hosp" "27" 2024-03-18 2024-03-30 0.75 19.25 "quantile" "site-level infection dynamics"
+"12 day ahead inc hosp" "27" 2024-03-18 2024-03-30 0.8 20 "quantile" "site-level infection dynamics"
+"12 day ahead inc hosp" "27" 2024-03-18 2024-03-30 0.85 22 "quantile" "site-level infection dynamics"
+"12 day ahead inc hosp" "27" 2024-03-18 2024-03-30 0.9 24.1 "quantile" "site-level infection dynamics"
+"12 day ahead inc hosp" "27" 2024-03-18 2024-03-30 0.95 27 "quantile" "site-level infection dynamics"
+"12 day ahead inc hosp" "27" 2024-03-18 2024-03-30 0.975 29.1 "quantile" "site-level infection dynamics"
+"12 day ahead inc hosp" "27" 2024-03-18 2024-03-30 0.99 32.03 "quantile" "site-level infection dynamics"
+"13 day ahead inc hosp" "27" 2024-03-18 2024-03-31 0.01 4.99 "quantile" "site-level infection dynamics"
+"13 day ahead inc hosp" "27" 2024-03-18 2024-03-31 0.025 8.475 "quantile" "site-level infection dynamics"
+"13 day ahead inc hosp" "27" 2024-03-18 2024-03-31 0.05 9 "quantile" "site-level infection dynamics"
+"13 day ahead inc hosp" "27" 2024-03-18 2024-03-31 0.1 11 "quantile" "site-level infection dynamics"
+"13 day ahead inc hosp" "27" 2024-03-18 2024-03-31 0.15 12 "quantile" "site-level infection dynamics"
+"13 day ahead inc hosp" "27" 2024-03-18 2024-03-31 0.2 13 "quantile" "site-level infection dynamics"
+"13 day ahead inc hosp" "27" 2024-03-18 2024-03-31 0.25 14 "quantile" "site-level infection dynamics"
+"13 day ahead inc hosp" "27" 2024-03-18 2024-03-31 0.3 14.7 "quantile" "site-level infection dynamics"
+"13 day ahead inc hosp" "27" 2024-03-18 2024-03-31 0.35 16 "quantile" "site-level infection dynamics"
+"13 day ahead inc hosp" "27" 2024-03-18 2024-03-31 0.4 16 "quantile" "site-level infection dynamics"
+"13 day ahead inc hosp" "27" 2024-03-18 2024-03-31 0.45 17 "quantile" "site-level infection dynamics"
+"13 day ahead inc hosp" "27" 2024-03-18 2024-03-31 0.5 18 "quantile" "site-level infection dynamics"
+"13 day ahead inc hosp" "27" 2024-03-18 2024-03-31 0.55 19 "quantile" "site-level infection dynamics"
+"13 day ahead inc hosp" "27" 2024-03-18 2024-03-31 0.6 20.4 "quantile" "site-level infection dynamics"
+"13 day ahead inc hosp" "27" 2024-03-18 2024-03-31 0.65 22 "quantile" "site-level infection dynamics"
+"13 day ahead inc hosp" "27" 2024-03-18 2024-03-31 0.7 22 "quantile" "site-level infection dynamics"
+"13 day ahead inc hosp" "27" 2024-03-18 2024-03-31 0.75 23 "quantile" "site-level infection dynamics"
+"13 day ahead inc hosp" "27" 2024-03-18 2024-03-31 0.8 24 "quantile" "site-level infection dynamics"
+"13 day ahead inc hosp" "27" 2024-03-18 2024-03-31 0.85 27 "quantile" "site-level infection dynamics"
+"13 day ahead inc hosp" "27" 2024-03-18 2024-03-31 0.9 28.1 "quantile" "site-level infection dynamics"
+"13 day ahead inc hosp" "27" 2024-03-18 2024-03-31 0.95 32 "quantile" "site-level infection dynamics"
+"13 day ahead inc hosp" "27" 2024-03-18 2024-03-31 0.975 33 "quantile" "site-level infection dynamics"
+"13 day ahead inc hosp" "27" 2024-03-18 2024-03-31 0.99 34.02 "quantile" "site-level infection dynamics"
+"14 day ahead inc hosp" "27" 2024-03-18 2024-04-01 0.01 7.99 "quantile" "site-level infection dynamics"
+"14 day ahead inc hosp" "27" 2024-03-18 2024-04-01 0.025 9 "quantile" "site-level infection dynamics"
+"14 day ahead inc hosp" "27" 2024-03-18 2024-04-01 0.05 10 "quantile" "site-level infection dynamics"
+"14 day ahead inc hosp" "27" 2024-03-18 2024-04-01 0.1 11.9 "quantile" "site-level infection dynamics"
+"14 day ahead inc hosp" "27" 2024-03-18 2024-04-01 0.15 13.85 "quantile" "site-level infection dynamics"
+"14 day ahead inc hosp" "27" 2024-03-18 2024-04-01 0.2 14.8 "quantile" "site-level infection dynamics"
+"14 day ahead inc hosp" "27" 2024-03-18 2024-04-01 0.25 15 "quantile" "site-level infection dynamics"
+"14 day ahead inc hosp" "27" 2024-03-18 2024-04-01 0.3 17 "quantile" "site-level infection dynamics"
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+"14 day ahead inc hosp" "27" 2024-03-18 2024-04-01 0.45 18.55 "quantile" "site-level infection dynamics"
+"14 day ahead inc hosp" "27" 2024-03-18 2024-04-01 0.5 19 "quantile" "site-level infection dynamics"
+"14 day ahead inc hosp" "27" 2024-03-18 2024-04-01 0.55 20 "quantile" "site-level infection dynamics"
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+"14 day ahead inc hosp" "27" 2024-03-18 2024-04-01 0.65 22.35 "quantile" "site-level infection dynamics"
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+"14 day ahead inc hosp" "27" 2024-03-18 2024-04-01 0.95 32.05 "quantile" "site-level infection dynamics"
+"14 day ahead inc hosp" "27" 2024-03-18 2024-04-01 0.975 33.525 "quantile" "site-level infection dynamics"
+"14 day ahead inc hosp" "27" 2024-03-18 2024-04-01 0.99 35.07 "quantile" "site-level infection dynamics"
+"15 day ahead inc hosp" "27" 2024-03-18 2024-04-02 0.01 6.99 "quantile" "site-level infection dynamics"
+"15 day ahead inc hosp" "27" 2024-03-18 2024-04-02 0.025 7.475 "quantile" "site-level infection dynamics"
+"15 day ahead inc hosp" "27" 2024-03-18 2024-04-02 0.05 9 "quantile" "site-level infection dynamics"
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+"15 day ahead inc hosp" "27" 2024-03-18 2024-04-02 0.3 17 "quantile" "site-level infection dynamics"
+"15 day ahead inc hosp" "27" 2024-03-18 2024-04-02 0.35 18 "quantile" "site-level infection dynamics"
+"15 day ahead inc hosp" "27" 2024-03-18 2024-04-02 0.4 19 "quantile" "site-level infection dynamics"
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+"15 day ahead inc hosp" "27" 2024-03-18 2024-04-02 0.5 20 "quantile" "site-level infection dynamics"
+"15 day ahead inc hosp" "27" 2024-03-18 2024-04-02 0.55 21 "quantile" "site-level infection dynamics"
+"15 day ahead inc hosp" "27" 2024-03-18 2024-04-02 0.6 22 "quantile" "site-level infection dynamics"
+"15 day ahead inc hosp" "27" 2024-03-18 2024-04-02 0.65 22.35 "quantile" "site-level infection dynamics"
+"15 day ahead inc hosp" "27" 2024-03-18 2024-04-02 0.7 25 "quantile" "site-level infection dynamics"
+"15 day ahead inc hosp" "27" 2024-03-18 2024-04-02 0.75 26 "quantile" "site-level infection dynamics"
+"15 day ahead inc hosp" "27" 2024-03-18 2024-04-02 0.8 28.4 "quantile" "site-level infection dynamics"
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+"15 day ahead inc hosp" "27" 2024-03-18 2024-04-02 0.9 32 "quantile" "site-level infection dynamics"
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+"15 day ahead inc hosp" "27" 2024-03-18 2024-04-02 0.975 41.525 "quantile" "site-level infection dynamics"
+"15 day ahead inc hosp" "27" 2024-03-18 2024-04-02 0.99 44.06 "quantile" "site-level infection dynamics"
+"16 day ahead inc hosp" "27" 2024-03-18 2024-04-03 0.01 5.99 "quantile" "site-level infection dynamics"
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+"16 day ahead inc hosp" "27" 2024-03-18 2024-04-03 0.75 25.25 "quantile" "site-level infection dynamics"
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+"18 day ahead inc hosp" "27" 2024-03-18 2024-04-05 0.975 42.05 "quantile" "site-level infection dynamics"
+"18 day ahead inc hosp" "27" 2024-03-18 2024-04-05 0.99 45.01 "quantile" "site-level infection dynamics"
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+"19 day ahead inc hosp" "27" 2024-03-18 2024-04-06 0.99 33.1000000000001 "quantile" "site-level infection dynamics"
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+"20 day ahead inc hosp" "27" 2024-03-18 2024-04-07 0.99 40.1000000000001 "quantile" "site-level infection dynamics"
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+"10 day ahead inc hosp" "40" 2024-03-18 2024-03-28 0.975 47.1499999999999 "quantile" "site-level infection dynamics"
+"10 day ahead inc hosp" "40" 2024-03-18 2024-03-28 0.99 53.03 "quantile" "site-level infection dynamics"
+"11 day ahead inc hosp" "40" 2024-03-18 2024-03-29 0.01 13.99 "quantile" "site-level infection dynamics"
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+"19 day ahead inc hosp" "40" 2024-03-18 2024-04-06 0.6 24.4 "quantile" "site-level infection dynamics"
+"19 day ahead inc hosp" "40" 2024-03-18 2024-04-06 0.65 26 "quantile" "site-level infection dynamics"
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+"19 day ahead inc hosp" "40" 2024-03-18 2024-04-06 0.75 28 "quantile" "site-level infection dynamics"
+"19 day ahead inc hosp" "40" 2024-03-18 2024-04-06 0.8 29.2 "quantile" "site-level infection dynamics"
+"19 day ahead inc hosp" "40" 2024-03-18 2024-04-06 0.85 31 "quantile" "site-level infection dynamics"
+"19 day ahead inc hosp" "40" 2024-03-18 2024-04-06 0.9 32 "quantile" "site-level infection dynamics"
+"19 day ahead inc hosp" "40" 2024-03-18 2024-04-06 0.95 36.05 "quantile" "site-level infection dynamics"
+"19 day ahead inc hosp" "40" 2024-03-18 2024-04-06 0.975 40.05 "quantile" "site-level infection dynamics"
+"19 day ahead inc hosp" "40" 2024-03-18 2024-04-06 0.99 41.1200000000001 "quantile" "site-level infection dynamics"
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+"20 day ahead inc hosp" "40" 2024-03-18 2024-04-07 0.025 12.475 "quantile" "site-level infection dynamics"
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+"20 day ahead inc hosp" "40" 2024-03-18 2024-04-07 0.975 40.525 "quantile" "site-level infection dynamics"
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+"5 day ahead inc hosp" "45" 2024-03-18 2024-03-23 0.025 27 "quantile" "site-level infection dynamics"
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+"5 day ahead inc hosp" "50" 2024-03-18 2024-03-23 0.95 6 "quantile" "site-level infection dynamics"
+"5 day ahead inc hosp" "50" 2024-03-18 2024-03-23 0.975 6.52499999999999 "quantile" "site-level infection dynamics"
+"5 day ahead inc hosp" "50" 2024-03-18 2024-03-23 0.99 7.02000000000001 "quantile" "site-level infection dynamics"
+"6 day ahead inc hosp" "50" 2024-03-18 2024-03-24 0.01 0 "quantile" "site-level infection dynamics"
+"6 day ahead inc hosp" "50" 2024-03-18 2024-03-24 0.025 0 "quantile" "site-level infection dynamics"
+"6 day ahead inc hosp" "50" 2024-03-18 2024-03-24 0.05 0 "quantile" "site-level infection dynamics"
+"6 day ahead inc hosp" "50" 2024-03-18 2024-03-24 0.1 0 "quantile" "site-level infection dynamics"
+"6 day ahead inc hosp" "50" 2024-03-18 2024-03-24 0.15 0.850000000000001 "quantile" "site-level infection dynamics"
+"6 day ahead inc hosp" "50" 2024-03-18 2024-03-24 0.2 1 "quantile" "site-level infection dynamics"
+"6 day ahead inc hosp" "50" 2024-03-18 2024-03-24 0.25 1 "quantile" "site-level infection dynamics"
+"6 day ahead inc hosp" "50" 2024-03-18 2024-03-24 0.3 2 "quantile" "site-level infection dynamics"
+"6 day ahead inc hosp" "50" 2024-03-18 2024-03-24 0.35 2 "quantile" "site-level infection dynamics"
+"6 day ahead inc hosp" "50" 2024-03-18 2024-03-24 0.4 2 "quantile" "site-level infection dynamics"
+"6 day ahead inc hosp" "50" 2024-03-18 2024-03-24 0.45 2 "quantile" "site-level infection dynamics"
+"6 day ahead inc hosp" "50" 2024-03-18 2024-03-24 0.5 2 "quantile" "site-level infection dynamics"
+"6 day ahead inc hosp" "50" 2024-03-18 2024-03-24 0.55 3 "quantile" "site-level infection dynamics"
+"6 day ahead inc hosp" "50" 2024-03-18 2024-03-24 0.6 3 "quantile" "site-level infection dynamics"
+"6 day ahead inc hosp" "50" 2024-03-18 2024-03-24 0.65 3 "quantile" "site-level infection dynamics"
+"6 day ahead inc hosp" "50" 2024-03-18 2024-03-24 0.7 3.30000000000001 "quantile" "site-level infection dynamics"
+"6 day ahead inc hosp" "50" 2024-03-18 2024-03-24 0.75 4 "quantile" "site-level infection dynamics"
+"6 day ahead inc hosp" "50" 2024-03-18 2024-03-24 0.8 4 "quantile" "site-level infection dynamics"
+"6 day ahead inc hosp" "50" 2024-03-18 2024-03-24 0.85 4.15000000000001 "quantile" "site-level infection dynamics"
+"6 day ahead inc hosp" "50" 2024-03-18 2024-03-24 0.9 5 "quantile" "site-level infection dynamics"
+"6 day ahead inc hosp" "50" 2024-03-18 2024-03-24 0.95 6 "quantile" "site-level infection dynamics"
+"6 day ahead inc hosp" "50" 2024-03-18 2024-03-24 0.975 7.52499999999999 "quantile" "site-level infection dynamics"
+"6 day ahead inc hosp" "50" 2024-03-18 2024-03-24 0.99 8.02000000000001 "quantile" "site-level infection dynamics"
+"7 day ahead inc hosp" "50" 2024-03-18 2024-03-25 0.01 0 "quantile" "site-level infection dynamics"
+"7 day ahead inc hosp" "50" 2024-03-18 2024-03-25 0.025 0 "quantile" "site-level infection dynamics"
+"7 day ahead inc hosp" "50" 2024-03-18 2024-03-25 0.05 0 "quantile" "site-level infection dynamics"
+"7 day ahead inc hosp" "50" 2024-03-18 2024-03-25 0.1 0 "quantile" "site-level infection dynamics"
+"7 day ahead inc hosp" "50" 2024-03-18 2024-03-25 0.15 0 "quantile" "site-level infection dynamics"
+"7 day ahead inc hosp" "50" 2024-03-18 2024-03-25 0.2 1 "quantile" "site-level infection dynamics"
+"7 day ahead inc hosp" "50" 2024-03-18 2024-03-25 0.25 1 "quantile" "site-level infection dynamics"
+"7 day ahead inc hosp" "50" 2024-03-18 2024-03-25 0.3 1 "quantile" "site-level infection dynamics"
+"7 day ahead inc hosp" "50" 2024-03-18 2024-03-25 0.35 1 "quantile" "site-level infection dynamics"
+"7 day ahead inc hosp" "50" 2024-03-18 2024-03-25 0.4 1 "quantile" "site-level infection dynamics"
+"7 day ahead inc hosp" "50" 2024-03-18 2024-03-25 0.45 2 "quantile" "site-level infection dynamics"
+"7 day ahead inc hosp" "50" 2024-03-18 2024-03-25 0.5 2 "quantile" "site-level infection dynamics"
+"7 day ahead inc hosp" "50" 2024-03-18 2024-03-25 0.55 2 "quantile" "site-level infection dynamics"
+"7 day ahead inc hosp" "50" 2024-03-18 2024-03-25 0.6 3 "quantile" "site-level infection dynamics"
+"7 day ahead inc hosp" "50" 2024-03-18 2024-03-25 0.65 3 "quantile" "site-level infection dynamics"
+"7 day ahead inc hosp" "50" 2024-03-18 2024-03-25 0.7 3 "quantile" "site-level infection dynamics"
+"7 day ahead inc hosp" "50" 2024-03-18 2024-03-25 0.75 3 "quantile" "site-level infection dynamics"
+"7 day ahead inc hosp" "50" 2024-03-18 2024-03-25 0.8 4 "quantile" "site-level infection dynamics"
+"7 day ahead inc hosp" "50" 2024-03-18 2024-03-25 0.85 4 "quantile" "site-level infection dynamics"
+"7 day ahead inc hosp" "50" 2024-03-18 2024-03-25 0.9 5 "quantile" "site-level infection dynamics"
+"7 day ahead inc hosp" "50" 2024-03-18 2024-03-25 0.95 5 "quantile" "site-level infection dynamics"
+"7 day ahead inc hosp" "50" 2024-03-18 2024-03-25 0.975 6.52499999999999 "quantile" "site-level infection dynamics"
+"7 day ahead inc hosp" "50" 2024-03-18 2024-03-25 0.99 7 "quantile" "site-level infection dynamics"
+"8 day ahead inc hosp" "50" 2024-03-18 2024-03-26 0.01 0 "quantile" "site-level infection dynamics"
+"8 day ahead inc hosp" "50" 2024-03-18 2024-03-26 0.025 0 "quantile" "site-level infection dynamics"
+"8 day ahead inc hosp" "50" 2024-03-18 2024-03-26 0.05 0 "quantile" "site-level infection dynamics"
+"8 day ahead inc hosp" "50" 2024-03-18 2024-03-26 0.1 0 "quantile" "site-level infection dynamics"
+"8 day ahead inc hosp" "50" 2024-03-18 2024-03-26 0.15 0 "quantile" "site-level infection dynamics"
+"8 day ahead inc hosp" "50" 2024-03-18 2024-03-26 0.2 1 "quantile" "site-level infection dynamics"
+"8 day ahead inc hosp" "50" 2024-03-18 2024-03-26 0.25 1 "quantile" "site-level infection dynamics"
+"8 day ahead inc hosp" "50" 2024-03-18 2024-03-26 0.3 1 "quantile" "site-level infection dynamics"
+"8 day ahead inc hosp" "50" 2024-03-18 2024-03-26 0.35 2 "quantile" "site-level infection dynamics"
+"8 day ahead inc hosp" "50" 2024-03-18 2024-03-26 0.4 2 "quantile" "site-level infection dynamics"
+"8 day ahead inc hosp" "50" 2024-03-18 2024-03-26 0.45 2 "quantile" "site-level infection dynamics"
+"8 day ahead inc hosp" "50" 2024-03-18 2024-03-26 0.5 2 "quantile" "site-level infection dynamics"
+"8 day ahead inc hosp" "50" 2024-03-18 2024-03-26 0.55 2 "quantile" "site-level infection dynamics"
+"8 day ahead inc hosp" "50" 2024-03-18 2024-03-26 0.6 3 "quantile" "site-level infection dynamics"
+"8 day ahead inc hosp" "50" 2024-03-18 2024-03-26 0.65 3 "quantile" "site-level infection dynamics"
+"8 day ahead inc hosp" "50" 2024-03-18 2024-03-26 0.7 3 "quantile" "site-level infection dynamics"
+"8 day ahead inc hosp" "50" 2024-03-18 2024-03-26 0.75 3 "quantile" "site-level infection dynamics"
+"8 day ahead inc hosp" "50" 2024-03-18 2024-03-26 0.8 4 "quantile" "site-level infection dynamics"
+"8 day ahead inc hosp" "50" 2024-03-18 2024-03-26 0.85 5 "quantile" "site-level infection dynamics"
+"8 day ahead inc hosp" "50" 2024-03-18 2024-03-26 0.9 5 "quantile" "site-level infection dynamics"
+"8 day ahead inc hosp" "50" 2024-03-18 2024-03-26 0.95 6 "quantile" "site-level infection dynamics"
+"8 day ahead inc hosp" "50" 2024-03-18 2024-03-26 0.975 6.52499999999999 "quantile" "site-level infection dynamics"
+"8 day ahead inc hosp" "50" 2024-03-18 2024-03-26 0.99 8 "quantile" "site-level infection dynamics"
+"9 day ahead inc hosp" "50" 2024-03-18 2024-03-27 0.01 0 "quantile" "site-level infection dynamics"
+"9 day ahead inc hosp" "50" 2024-03-18 2024-03-27 0.025 0 "quantile" "site-level infection dynamics"
+"9 day ahead inc hosp" "50" 2024-03-18 2024-03-27 0.05 0 "quantile" "site-level infection dynamics"
+"9 day ahead inc hosp" "50" 2024-03-18 2024-03-27 0.1 0 "quantile" "site-level infection dynamics"
+"9 day ahead inc hosp" "50" 2024-03-18 2024-03-27 0.15 1 "quantile" "site-level infection dynamics"
+"9 day ahead inc hosp" "50" 2024-03-18 2024-03-27 0.2 1 "quantile" "site-level infection dynamics"
+"9 day ahead inc hosp" "50" 2024-03-18 2024-03-27 0.25 1 "quantile" "site-level infection dynamics"
+"9 day ahead inc hosp" "50" 2024-03-18 2024-03-27 0.3 1 "quantile" "site-level infection dynamics"
+"9 day ahead inc hosp" "50" 2024-03-18 2024-03-27 0.35 1 "quantile" "site-level infection dynamics"
+"9 day ahead inc hosp" "50" 2024-03-18 2024-03-27 0.4 2 "quantile" "site-level infection dynamics"
+"9 day ahead inc hosp" "50" 2024-03-18 2024-03-27 0.45 2 "quantile" "site-level infection dynamics"
+"9 day ahead inc hosp" "50" 2024-03-18 2024-03-27 0.5 2 "quantile" "site-level infection dynamics"
+"9 day ahead inc hosp" "50" 2024-03-18 2024-03-27 0.55 2 "quantile" "site-level infection dynamics"
+"9 day ahead inc hosp" "50" 2024-03-18 2024-03-27 0.6 3 "quantile" "site-level infection dynamics"
+"9 day ahead inc hosp" "50" 2024-03-18 2024-03-27 0.65 3 "quantile" "site-level infection dynamics"
+"9 day ahead inc hosp" "50" 2024-03-18 2024-03-27 0.7 3 "quantile" "site-level infection dynamics"
+"9 day ahead inc hosp" "50" 2024-03-18 2024-03-27 0.75 4 "quantile" "site-level infection dynamics"
+"9 day ahead inc hosp" "50" 2024-03-18 2024-03-27 0.8 4 "quantile" "site-level infection dynamics"
+"9 day ahead inc hosp" "50" 2024-03-18 2024-03-27 0.85 5 "quantile" "site-level infection dynamics"
+"9 day ahead inc hosp" "50" 2024-03-18 2024-03-27 0.9 5.10000000000001 "quantile" "site-level infection dynamics"
+"9 day ahead inc hosp" "50" 2024-03-18 2024-03-27 0.95 6 "quantile" "site-level infection dynamics"
+"9 day ahead inc hosp" "50" 2024-03-18 2024-03-27 0.975 6.52499999999999 "quantile" "site-level infection dynamics"
+"9 day ahead inc hosp" "50" 2024-03-18 2024-03-27 0.99 9.04000000000002 "quantile" "site-level infection dynamics"
+"10 day ahead inc hosp" "50" 2024-03-18 2024-03-28 0.01 0 "quantile" "site-level infection dynamics"
+"10 day ahead inc hosp" "50" 2024-03-18 2024-03-28 0.025 0 "quantile" "site-level infection dynamics"
+"10 day ahead inc hosp" "50" 2024-03-18 2024-03-28 0.05 0 "quantile" "site-level infection dynamics"
+"10 day ahead inc hosp" "50" 2024-03-18 2024-03-28 0.1 0 "quantile" "site-level infection dynamics"
+"10 day ahead inc hosp" "50" 2024-03-18 2024-03-28 0.15 0 "quantile" "site-level infection dynamics"
+"10 day ahead inc hosp" "50" 2024-03-18 2024-03-28 0.2 1 "quantile" "site-level infection dynamics"
+"10 day ahead inc hosp" "50" 2024-03-18 2024-03-28 0.25 1 "quantile" "site-level infection dynamics"
+"10 day ahead inc hosp" "50" 2024-03-18 2024-03-28 0.3 1 "quantile" "site-level infection dynamics"
+"10 day ahead inc hosp" "50" 2024-03-18 2024-03-28 0.35 1 "quantile" "site-level infection dynamics"
+"10 day ahead inc hosp" "50" 2024-03-18 2024-03-28 0.4 1 "quantile" "site-level infection dynamics"
+"10 day ahead inc hosp" "50" 2024-03-18 2024-03-28 0.45 1 "quantile" "site-level infection dynamics"
+"10 day ahead inc hosp" "50" 2024-03-18 2024-03-28 0.5 1.5 "quantile" "site-level infection dynamics"
+"10 day ahead inc hosp" "50" 2024-03-18 2024-03-28 0.55 2 "quantile" "site-level infection dynamics"
+"10 day ahead inc hosp" "50" 2024-03-18 2024-03-28 0.6 2 "quantile" "site-level infection dynamics"
+"10 day ahead inc hosp" "50" 2024-03-18 2024-03-28 0.65 2 "quantile" "site-level infection dynamics"
+"10 day ahead inc hosp" "50" 2024-03-18 2024-03-28 0.7 2.30000000000001 "quantile" "site-level infection dynamics"
+"10 day ahead inc hosp" "50" 2024-03-18 2024-03-28 0.75 3 "quantile" "site-level infection dynamics"
+"10 day ahead inc hosp" "50" 2024-03-18 2024-03-28 0.8 3 "quantile" "site-level infection dynamics"
+"10 day ahead inc hosp" "50" 2024-03-18 2024-03-28 0.85 4 "quantile" "site-level infection dynamics"
+"10 day ahead inc hosp" "50" 2024-03-18 2024-03-28 0.9 4 "quantile" "site-level infection dynamics"
+"10 day ahead inc hosp" "50" 2024-03-18 2024-03-28 0.95 6 "quantile" "site-level infection dynamics"
+"10 day ahead inc hosp" "50" 2024-03-18 2024-03-28 0.975 6.52499999999999 "quantile" "site-level infection dynamics"
+"10 day ahead inc hosp" "50" 2024-03-18 2024-03-28 0.99 7 "quantile" "site-level infection dynamics"
+"11 day ahead inc hosp" "50" 2024-03-18 2024-03-29 0.01 0 "quantile" "site-level infection dynamics"
+"11 day ahead inc hosp" "50" 2024-03-18 2024-03-29 0.025 0 "quantile" "site-level infection dynamics"
+"11 day ahead inc hosp" "50" 2024-03-18 2024-03-29 0.05 0 "quantile" "site-level infection dynamics"
+"11 day ahead inc hosp" "50" 2024-03-18 2024-03-29 0.1 0.9 "quantile" "site-level infection dynamics"
+"11 day ahead inc hosp" "50" 2024-03-18 2024-03-29 0.15 1 "quantile" "site-level infection dynamics"
+"11 day ahead inc hosp" "50" 2024-03-18 2024-03-29 0.2 1 "quantile" "site-level infection dynamics"
+"11 day ahead inc hosp" "50" 2024-03-18 2024-03-29 0.25 1 "quantile" "site-level infection dynamics"
+"11 day ahead inc hosp" "50" 2024-03-18 2024-03-29 0.3 2 "quantile" "site-level infection dynamics"
+"11 day ahead inc hosp" "50" 2024-03-18 2024-03-29 0.35 2 "quantile" "site-level infection dynamics"
+"11 day ahead inc hosp" "50" 2024-03-18 2024-03-29 0.4 2 "quantile" "site-level infection dynamics"
+"11 day ahead inc hosp" "50" 2024-03-18 2024-03-29 0.45 2 "quantile" "site-level infection dynamics"
+"11 day ahead inc hosp" "50" 2024-03-18 2024-03-29 0.5 2 "quantile" "site-level infection dynamics"
+"11 day ahead inc hosp" "50" 2024-03-18 2024-03-29 0.55 3 "quantile" "site-level infection dynamics"
+"11 day ahead inc hosp" "50" 2024-03-18 2024-03-29 0.6 3 "quantile" "site-level infection dynamics"
+"11 day ahead inc hosp" "50" 2024-03-18 2024-03-29 0.65 3 "quantile" "site-level infection dynamics"
+"11 day ahead inc hosp" "50" 2024-03-18 2024-03-29 0.7 4 "quantile" "site-level infection dynamics"
+"11 day ahead inc hosp" "50" 2024-03-18 2024-03-29 0.75 4 "quantile" "site-level infection dynamics"
+"11 day ahead inc hosp" "50" 2024-03-18 2024-03-29 0.8 5 "quantile" "site-level infection dynamics"
+"11 day ahead inc hosp" "50" 2024-03-18 2024-03-29 0.85 5 "quantile" "site-level infection dynamics"
+"11 day ahead inc hosp" "50" 2024-03-18 2024-03-29 0.9 6 "quantile" "site-level infection dynamics"
+"11 day ahead inc hosp" "50" 2024-03-18 2024-03-29 0.95 6.05 "quantile" "site-level infection dynamics"
+"11 day ahead inc hosp" "50" 2024-03-18 2024-03-29 0.975 7 "quantile" "site-level infection dynamics"
+"11 day ahead inc hosp" "50" 2024-03-18 2024-03-29 0.99 8.01000000000001 "quantile" "site-level infection dynamics"
+"12 day ahead inc hosp" "50" 2024-03-18 2024-03-30 0.01 0 "quantile" "site-level infection dynamics"
+"12 day ahead inc hosp" "50" 2024-03-18 2024-03-30 0.025 0 "quantile" "site-level infection dynamics"
+"12 day ahead inc hosp" "50" 2024-03-18 2024-03-30 0.05 0 "quantile" "site-level infection dynamics"
+"12 day ahead inc hosp" "50" 2024-03-18 2024-03-30 0.1 0 "quantile" "site-level infection dynamics"
+"12 day ahead inc hosp" "50" 2024-03-18 2024-03-30 0.15 0 "quantile" "site-level infection dynamics"
+"12 day ahead inc hosp" "50" 2024-03-18 2024-03-30 0.2 1 "quantile" "site-level infection dynamics"
+"12 day ahead inc hosp" "50" 2024-03-18 2024-03-30 0.25 1 "quantile" "site-level infection dynamics"
+"12 day ahead inc hosp" "50" 2024-03-18 2024-03-30 0.3 1 "quantile" "site-level infection dynamics"
+"12 day ahead inc hosp" "50" 2024-03-18 2024-03-30 0.35 1 "quantile" "site-level infection dynamics"
+"12 day ahead inc hosp" "50" 2024-03-18 2024-03-30 0.4 1 "quantile" "site-level infection dynamics"
+"12 day ahead inc hosp" "50" 2024-03-18 2024-03-30 0.45 1 "quantile" "site-level infection dynamics"
+"12 day ahead inc hosp" "50" 2024-03-18 2024-03-30 0.5 1 "quantile" "site-level infection dynamics"
+"12 day ahead inc hosp" "50" 2024-03-18 2024-03-30 0.55 2 "quantile" "site-level infection dynamics"
+"12 day ahead inc hosp" "50" 2024-03-18 2024-03-30 0.6 2 "quantile" "site-level infection dynamics"
+"12 day ahead inc hosp" "50" 2024-03-18 2024-03-30 0.65 2 "quantile" "site-level infection dynamics"
+"12 day ahead inc hosp" "50" 2024-03-18 2024-03-30 0.7 3 "quantile" "site-level infection dynamics"
+"12 day ahead inc hosp" "50" 2024-03-18 2024-03-30 0.75 3 "quantile" "site-level infection dynamics"
+"12 day ahead inc hosp" "50" 2024-03-18 2024-03-30 0.8 3 "quantile" "site-level infection dynamics"
+"12 day ahead inc hosp" "50" 2024-03-18 2024-03-30 0.85 3 "quantile" "site-level infection dynamics"
+"12 day ahead inc hosp" "50" 2024-03-18 2024-03-30 0.9 4 "quantile" "site-level infection dynamics"
+"12 day ahead inc hosp" "50" 2024-03-18 2024-03-30 0.95 4.05 "quantile" "site-level infection dynamics"
+"12 day ahead inc hosp" "50" 2024-03-18 2024-03-30 0.975 5 "quantile" "site-level infection dynamics"
+"12 day ahead inc hosp" "50" 2024-03-18 2024-03-30 0.99 7.01000000000001 "quantile" "site-level infection dynamics"
+"13 day ahead inc hosp" "50" 2024-03-18 2024-03-31 0.01 0 "quantile" "site-level infection dynamics"
+"13 day ahead inc hosp" "50" 2024-03-18 2024-03-31 0.025 0 "quantile" "site-level infection dynamics"
+"13 day ahead inc hosp" "50" 2024-03-18 2024-03-31 0.05 0 "quantile" "site-level infection dynamics"
+"13 day ahead inc hosp" "50" 2024-03-18 2024-03-31 0.1 0 "quantile" "site-level infection dynamics"
+"13 day ahead inc hosp" "50" 2024-03-18 2024-03-31 0.15 0 "quantile" "site-level infection dynamics"
+"13 day ahead inc hosp" "50" 2024-03-18 2024-03-31 0.2 0 "quantile" "site-level infection dynamics"
+"13 day ahead inc hosp" "50" 2024-03-18 2024-03-31 0.25 1 "quantile" "site-level infection dynamics"
+"13 day ahead inc hosp" "50" 2024-03-18 2024-03-31 0.3 1 "quantile" "site-level infection dynamics"
+"13 day ahead inc hosp" "50" 2024-03-18 2024-03-31 0.35 1 "quantile" "site-level infection dynamics"
+"13 day ahead inc hosp" "50" 2024-03-18 2024-03-31 0.4 2 "quantile" "site-level infection dynamics"
+"13 day ahead inc hosp" "50" 2024-03-18 2024-03-31 0.45 2 "quantile" "site-level infection dynamics"
+"13 day ahead inc hosp" "50" 2024-03-18 2024-03-31 0.5 2 "quantile" "site-level infection dynamics"
+"13 day ahead inc hosp" "50" 2024-03-18 2024-03-31 0.55 2 "quantile" "site-level infection dynamics"
+"13 day ahead inc hosp" "50" 2024-03-18 2024-03-31 0.6 2 "quantile" "site-level infection dynamics"
+"13 day ahead inc hosp" "50" 2024-03-18 2024-03-31 0.65 2 "quantile" "site-level infection dynamics"
+"13 day ahead inc hosp" "50" 2024-03-18 2024-03-31 0.7 3 "quantile" "site-level infection dynamics"
+"13 day ahead inc hosp" "50" 2024-03-18 2024-03-31 0.75 3 "quantile" "site-level infection dynamics"
+"13 day ahead inc hosp" "50" 2024-03-18 2024-03-31 0.8 4 "quantile" "site-level infection dynamics"
+"13 day ahead inc hosp" "50" 2024-03-18 2024-03-31 0.85 4 "quantile" "site-level infection dynamics"
+"13 day ahead inc hosp" "50" 2024-03-18 2024-03-31 0.9 5 "quantile" "site-level infection dynamics"
+"13 day ahead inc hosp" "50" 2024-03-18 2024-03-31 0.95 6 "quantile" "site-level infection dynamics"
+"13 day ahead inc hosp" "50" 2024-03-18 2024-03-31 0.975 7 "quantile" "site-level infection dynamics"
+"13 day ahead inc hosp" "50" 2024-03-18 2024-03-31 0.99 7 "quantile" "site-level infection dynamics"
+"14 day ahead inc hosp" "50" 2024-03-18 2024-04-01 0.01 0 "quantile" "site-level infection dynamics"
+"14 day ahead inc hosp" "50" 2024-03-18 2024-04-01 0.025 0 "quantile" "site-level infection dynamics"
+"14 day ahead inc hosp" "50" 2024-03-18 2024-04-01 0.05 0 "quantile" "site-level infection dynamics"
+"14 day ahead inc hosp" "50" 2024-03-18 2024-04-01 0.1 0 "quantile" "site-level infection dynamics"
+"14 day ahead inc hosp" "50" 2024-03-18 2024-04-01 0.15 0.850000000000001 "quantile" "site-level infection dynamics"
+"14 day ahead inc hosp" "50" 2024-03-18 2024-04-01 0.2 1 "quantile" "site-level infection dynamics"
+"14 day ahead inc hosp" "50" 2024-03-18 2024-04-01 0.25 1 "quantile" "site-level infection dynamics"
+"14 day ahead inc hosp" "50" 2024-03-18 2024-04-01 0.3 2 "quantile" "site-level infection dynamics"
+"14 day ahead inc hosp" "50" 2024-03-18 2024-04-01 0.35 2 "quantile" "site-level infection dynamics"
+"14 day ahead inc hosp" "50" 2024-03-18 2024-04-01 0.4 2 "quantile" "site-level infection dynamics"
+"14 day ahead inc hosp" "50" 2024-03-18 2024-04-01 0.45 2 "quantile" "site-level infection dynamics"
+"14 day ahead inc hosp" "50" 2024-03-18 2024-04-01 0.5 2 "quantile" "site-level infection dynamics"
+"14 day ahead inc hosp" "50" 2024-03-18 2024-04-01 0.55 2 "quantile" "site-level infection dynamics"
+"14 day ahead inc hosp" "50" 2024-03-18 2024-04-01 0.6 3 "quantile" "site-level infection dynamics"
+"14 day ahead inc hosp" "50" 2024-03-18 2024-04-01 0.65 3 "quantile" "site-level infection dynamics"
+"14 day ahead inc hosp" "50" 2024-03-18 2024-04-01 0.7 3 "quantile" "site-level infection dynamics"
+"14 day ahead inc hosp" "50" 2024-03-18 2024-04-01 0.75 3 "quantile" "site-level infection dynamics"
+"14 day ahead inc hosp" "50" 2024-03-18 2024-04-01 0.8 4 "quantile" "site-level infection dynamics"
+"14 day ahead inc hosp" "50" 2024-03-18 2024-04-01 0.85 4 "quantile" "site-level infection dynamics"
+"14 day ahead inc hosp" "50" 2024-03-18 2024-04-01 0.9 5 "quantile" "site-level infection dynamics"
+"14 day ahead inc hosp" "50" 2024-03-18 2024-04-01 0.95 6 "quantile" "site-level infection dynamics"
+"14 day ahead inc hosp" "50" 2024-03-18 2024-04-01 0.975 7 "quantile" "site-level infection dynamics"
+"14 day ahead inc hosp" "50" 2024-03-18 2024-04-01 0.99 7.01000000000001 "quantile" "site-level infection dynamics"
+"15 day ahead inc hosp" "50" 2024-03-18 2024-04-02 0.01 0 "quantile" "site-level infection dynamics"
+"15 day ahead inc hosp" "50" 2024-03-18 2024-04-02 0.025 0 "quantile" "site-level infection dynamics"
+"15 day ahead inc hosp" "50" 2024-03-18 2024-04-02 0.05 0 "quantile" "site-level infection dynamics"
+"15 day ahead inc hosp" "50" 2024-03-18 2024-04-02 0.1 0 "quantile" "site-level infection dynamics"
+"15 day ahead inc hosp" "50" 2024-03-18 2024-04-02 0.15 0 "quantile" "site-level infection dynamics"
+"15 day ahead inc hosp" "50" 2024-03-18 2024-04-02 0.2 1 "quantile" "site-level infection dynamics"
+"15 day ahead inc hosp" "50" 2024-03-18 2024-04-02 0.25 1 "quantile" "site-level infection dynamics"
+"15 day ahead inc hosp" "50" 2024-03-18 2024-04-02 0.3 1 "quantile" "site-level infection dynamics"
+"15 day ahead inc hosp" "50" 2024-03-18 2024-04-02 0.35 1 "quantile" "site-level infection dynamics"
+"15 day ahead inc hosp" "50" 2024-03-18 2024-04-02 0.4 1 "quantile" "site-level infection dynamics"
+"15 day ahead inc hosp" "50" 2024-03-18 2024-04-02 0.45 2 "quantile" "site-level infection dynamics"
+"15 day ahead inc hosp" "50" 2024-03-18 2024-04-02 0.5 2 "quantile" "site-level infection dynamics"
+"15 day ahead inc hosp" "50" 2024-03-18 2024-04-02 0.55 2 "quantile" "site-level infection dynamics"
+"15 day ahead inc hosp" "50" 2024-03-18 2024-04-02 0.6 3 "quantile" "site-level infection dynamics"
+"15 day ahead inc hosp" "50" 2024-03-18 2024-04-02 0.65 3 "quantile" "site-level infection dynamics"
+"15 day ahead inc hosp" "50" 2024-03-18 2024-04-02 0.7 3 "quantile" "site-level infection dynamics"
+"15 day ahead inc hosp" "50" 2024-03-18 2024-04-02 0.75 4 "quantile" "site-level infection dynamics"
+"15 day ahead inc hosp" "50" 2024-03-18 2024-04-02 0.8 4 "quantile" "site-level infection dynamics"
+"15 day ahead inc hosp" "50" 2024-03-18 2024-04-02 0.85 4.15000000000001 "quantile" "site-level infection dynamics"
+"15 day ahead inc hosp" "50" 2024-03-18 2024-04-02 0.9 5 "quantile" "site-level infection dynamics"
+"15 day ahead inc hosp" "50" 2024-03-18 2024-04-02 0.95 6 "quantile" "site-level infection dynamics"
+"15 day ahead inc hosp" "50" 2024-03-18 2024-04-02 0.975 7.04999999999998 "quantile" "site-level infection dynamics"
+"15 day ahead inc hosp" "50" 2024-03-18 2024-04-02 0.99 8.02000000000001 "quantile" "site-level infection dynamics"
+"16 day ahead inc hosp" "50" 2024-03-18 2024-04-03 0.01 0 "quantile" "site-level infection dynamics"
+"16 day ahead inc hosp" "50" 2024-03-18 2024-04-03 0.025 0 "quantile" "site-level infection dynamics"
+"16 day ahead inc hosp" "50" 2024-03-18 2024-04-03 0.05 0 "quantile" "site-level infection dynamics"
+"16 day ahead inc hosp" "50" 2024-03-18 2024-04-03 0.1 0 "quantile" "site-level infection dynamics"
+"16 day ahead inc hosp" "50" 2024-03-18 2024-04-03 0.15 0 "quantile" "site-level infection dynamics"
+"16 day ahead inc hosp" "50" 2024-03-18 2024-04-03 0.2 1 "quantile" "site-level infection dynamics"
+"16 day ahead inc hosp" "50" 2024-03-18 2024-04-03 0.25 1 "quantile" "site-level infection dynamics"
+"16 day ahead inc hosp" "50" 2024-03-18 2024-04-03 0.3 1 "quantile" "site-level infection dynamics"
+"16 day ahead inc hosp" "50" 2024-03-18 2024-04-03 0.35 2 "quantile" "site-level infection dynamics"
+"16 day ahead inc hosp" "50" 2024-03-18 2024-04-03 0.4 2 "quantile" "site-level infection dynamics"
+"16 day ahead inc hosp" "50" 2024-03-18 2024-04-03 0.45 2 "quantile" "site-level infection dynamics"
+"16 day ahead inc hosp" "50" 2024-03-18 2024-04-03 0.5 2 "quantile" "site-level infection dynamics"
+"16 day ahead inc hosp" "50" 2024-03-18 2024-04-03 0.55 3 "quantile" "site-level infection dynamics"
+"16 day ahead inc hosp" "50" 2024-03-18 2024-04-03 0.6 3 "quantile" "site-level infection dynamics"
+"16 day ahead inc hosp" "50" 2024-03-18 2024-04-03 0.65 3 "quantile" "site-level infection dynamics"
+"16 day ahead inc hosp" "50" 2024-03-18 2024-04-03 0.7 4 "quantile" "site-level infection dynamics"
+"16 day ahead inc hosp" "50" 2024-03-18 2024-04-03 0.75 4 "quantile" "site-level infection dynamics"
+"16 day ahead inc hosp" "50" 2024-03-18 2024-04-03 0.8 5 "quantile" "site-level infection dynamics"
+"16 day ahead inc hosp" "50" 2024-03-18 2024-04-03 0.85 5 "quantile" "site-level infection dynamics"
+"16 day ahead inc hosp" "50" 2024-03-18 2024-04-03 0.9 5 "quantile" "site-level infection dynamics"
+"16 day ahead inc hosp" "50" 2024-03-18 2024-04-03 0.95 6 "quantile" "site-level infection dynamics"
+"16 day ahead inc hosp" "50" 2024-03-18 2024-04-03 0.975 7.04999999999998 "quantile" "site-level infection dynamics"
+"16 day ahead inc hosp" "50" 2024-03-18 2024-04-03 0.99 8 "quantile" "site-level infection dynamics"
+"17 day ahead inc hosp" "50" 2024-03-18 2024-04-04 0.01 0 "quantile" "site-level infection dynamics"
+"17 day ahead inc hosp" "50" 2024-03-18 2024-04-04 0.025 0 "quantile" "site-level infection dynamics"
+"17 day ahead inc hosp" "50" 2024-03-18 2024-04-04 0.05 0 "quantile" "site-level infection dynamics"
+"17 day ahead inc hosp" "50" 2024-03-18 2024-04-04 0.1 0 "quantile" "site-level infection dynamics"
+"17 day ahead inc hosp" "50" 2024-03-18 2024-04-04 0.15 0 "quantile" "site-level infection dynamics"
+"17 day ahead inc hosp" "50" 2024-03-18 2024-04-04 0.2 0 "quantile" "site-level infection dynamics"
+"17 day ahead inc hosp" "50" 2024-03-18 2024-04-04 0.25 0 "quantile" "site-level infection dynamics"
+"17 day ahead inc hosp" "50" 2024-03-18 2024-04-04 0.3 1 "quantile" "site-level infection dynamics"
+"17 day ahead inc hosp" "50" 2024-03-18 2024-04-04 0.35 1 "quantile" "site-level infection dynamics"
+"17 day ahead inc hosp" "50" 2024-03-18 2024-04-04 0.4 1 "quantile" "site-level infection dynamics"
+"17 day ahead inc hosp" "50" 2024-03-18 2024-04-04 0.45 1 "quantile" "site-level infection dynamics"
+"17 day ahead inc hosp" "50" 2024-03-18 2024-04-04 0.5 1 "quantile" "site-level infection dynamics"
+"17 day ahead inc hosp" "50" 2024-03-18 2024-04-04 0.55 2 "quantile" "site-level infection dynamics"
+"17 day ahead inc hosp" "50" 2024-03-18 2024-04-04 0.6 2 "quantile" "site-level infection dynamics"
+"17 day ahead inc hosp" "50" 2024-03-18 2024-04-04 0.65 2 "quantile" "site-level infection dynamics"
+"17 day ahead inc hosp" "50" 2024-03-18 2024-04-04 0.7 2 "quantile" "site-level infection dynamics"
+"17 day ahead inc hosp" "50" 2024-03-18 2024-04-04 0.75 3 "quantile" "site-level infection dynamics"
+"17 day ahead inc hosp" "50" 2024-03-18 2024-04-04 0.8 3 "quantile" "site-level infection dynamics"
+"17 day ahead inc hosp" "50" 2024-03-18 2024-04-04 0.85 3 "quantile" "site-level infection dynamics"
+"17 day ahead inc hosp" "50" 2024-03-18 2024-04-04 0.9 4 "quantile" "site-level infection dynamics"
+"17 day ahead inc hosp" "50" 2024-03-18 2024-04-04 0.95 6 "quantile" "site-level infection dynamics"
+"17 day ahead inc hosp" "50" 2024-03-18 2024-04-04 0.975 7.52499999999999 "quantile" "site-level infection dynamics"
+"17 day ahead inc hosp" "50" 2024-03-18 2024-04-04 0.99 8.01000000000001 "quantile" "site-level infection dynamics"
+"18 day ahead inc hosp" "50" 2024-03-18 2024-04-05 0.01 0 "quantile" "site-level infection dynamics"
+"18 day ahead inc hosp" "50" 2024-03-18 2024-04-05 0.025 0 "quantile" "site-level infection dynamics"
+"18 day ahead inc hosp" "50" 2024-03-18 2024-04-05 0.05 0 "quantile" "site-level infection dynamics"
+"18 day ahead inc hosp" "50" 2024-03-18 2024-04-05 0.1 0.9 "quantile" "site-level infection dynamics"
+"18 day ahead inc hosp" "50" 2024-03-18 2024-04-05 0.15 1 "quantile" "site-level infection dynamics"
+"18 day ahead inc hosp" "50" 2024-03-18 2024-04-05 0.2 1 "quantile" "site-level infection dynamics"
+"18 day ahead inc hosp" "50" 2024-03-18 2024-04-05 0.25 1 "quantile" "site-level infection dynamics"
+"18 day ahead inc hosp" "50" 2024-03-18 2024-04-05 0.3 1 "quantile" "site-level infection dynamics"
+"18 day ahead inc hosp" "50" 2024-03-18 2024-04-05 0.35 2 "quantile" "site-level infection dynamics"
+"18 day ahead inc hosp" "50" 2024-03-18 2024-04-05 0.4 2 "quantile" "site-level infection dynamics"
+"18 day ahead inc hosp" "50" 2024-03-18 2024-04-05 0.45 2 "quantile" "site-level infection dynamics"
+"18 day ahead inc hosp" "50" 2024-03-18 2024-04-05 0.5 2.5 "quantile" "site-level infection dynamics"
+"18 day ahead inc hosp" "50" 2024-03-18 2024-04-05 0.55 3 "quantile" "site-level infection dynamics"
+"18 day ahead inc hosp" "50" 2024-03-18 2024-04-05 0.6 3 "quantile" "site-level infection dynamics"
+"18 day ahead inc hosp" "50" 2024-03-18 2024-04-05 0.65 3.35000000000001 "quantile" "site-level infection dynamics"
+"18 day ahead inc hosp" "50" 2024-03-18 2024-04-05 0.7 4 "quantile" "site-level infection dynamics"
+"18 day ahead inc hosp" "50" 2024-03-18 2024-04-05 0.75 4 "quantile" "site-level infection dynamics"
+"18 day ahead inc hosp" "50" 2024-03-18 2024-04-05 0.8 4 "quantile" "site-level infection dynamics"
+"18 day ahead inc hosp" "50" 2024-03-18 2024-04-05 0.85 5 "quantile" "site-level infection dynamics"
+"18 day ahead inc hosp" "50" 2024-03-18 2024-04-05 0.9 5 "quantile" "site-level infection dynamics"
+"18 day ahead inc hosp" "50" 2024-03-18 2024-04-05 0.95 6 "quantile" "site-level infection dynamics"
+"18 day ahead inc hosp" "50" 2024-03-18 2024-04-05 0.975 7 "quantile" "site-level infection dynamics"
+"18 day ahead inc hosp" "50" 2024-03-18 2024-04-05 0.99 7.02000000000001 "quantile" "site-level infection dynamics"
+"19 day ahead inc hosp" "50" 2024-03-18 2024-04-06 0.01 0 "quantile" "site-level infection dynamics"
+"19 day ahead inc hosp" "50" 2024-03-18 2024-04-06 0.025 0 "quantile" "site-level infection dynamics"
+"19 day ahead inc hosp" "50" 2024-03-18 2024-04-06 0.05 0 "quantile" "site-level infection dynamics"
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+"19 day ahead inc hosp" "50" 2024-03-18 2024-04-06 0.15 0 "quantile" "site-level infection dynamics"
+"19 day ahead inc hosp" "50" 2024-03-18 2024-04-06 0.2 1 "quantile" "site-level infection dynamics"
+"19 day ahead inc hosp" "50" 2024-03-18 2024-04-06 0.25 1 "quantile" "site-level infection dynamics"
+"19 day ahead inc hosp" "50" 2024-03-18 2024-04-06 0.3 1 "quantile" "site-level infection dynamics"
+"19 day ahead inc hosp" "50" 2024-03-18 2024-04-06 0.35 1 "quantile" "site-level infection dynamics"
+"19 day ahead inc hosp" "50" 2024-03-18 2024-04-06 0.4 1 "quantile" "site-level infection dynamics"
+"19 day ahead inc hosp" "50" 2024-03-18 2024-04-06 0.45 2 "quantile" "site-level infection dynamics"
+"19 day ahead inc hosp" "50" 2024-03-18 2024-04-06 0.5 2 "quantile" "site-level infection dynamics"
+"19 day ahead inc hosp" "50" 2024-03-18 2024-04-06 0.55 2 "quantile" "site-level infection dynamics"
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+"19 day ahead inc hosp" "50" 2024-03-18 2024-04-06 0.65 3 "quantile" "site-level infection dynamics"
+"19 day ahead inc hosp" "50" 2024-03-18 2024-04-06 0.7 3 "quantile" "site-level infection dynamics"
+"19 day ahead inc hosp" "50" 2024-03-18 2024-04-06 0.75 3 "quantile" "site-level infection dynamics"
+"19 day ahead inc hosp" "50" 2024-03-18 2024-04-06 0.8 4 "quantile" "site-level infection dynamics"
+"19 day ahead inc hosp" "50" 2024-03-18 2024-04-06 0.85 4 "quantile" "site-level infection dynamics"
+"19 day ahead inc hosp" "50" 2024-03-18 2024-04-06 0.9 4 "quantile" "site-level infection dynamics"
+"19 day ahead inc hosp" "50" 2024-03-18 2024-04-06 0.95 5.05 "quantile" "site-level infection dynamics"
+"19 day ahead inc hosp" "50" 2024-03-18 2024-04-06 0.975 6.52499999999999 "quantile" "site-level infection dynamics"
+"19 day ahead inc hosp" "50" 2024-03-18 2024-04-06 0.99 8 "quantile" "site-level infection dynamics"
+"20 day ahead inc hosp" "50" 2024-03-18 2024-04-07 0.01 0 "quantile" "site-level infection dynamics"
+"20 day ahead inc hosp" "50" 2024-03-18 2024-04-07 0.025 0 "quantile" "site-level infection dynamics"
+"20 day ahead inc hosp" "50" 2024-03-18 2024-04-07 0.05 0 "quantile" "site-level infection dynamics"
+"20 day ahead inc hosp" "50" 2024-03-18 2024-04-07 0.1 0 "quantile" "site-level infection dynamics"
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+"20 day ahead inc hosp" "50" 2024-03-18 2024-04-07 0.2 0 "quantile" "site-level infection dynamics"
+"20 day ahead inc hosp" "50" 2024-03-18 2024-04-07 0.25 1 "quantile" "site-level infection dynamics"
+"20 day ahead inc hosp" "50" 2024-03-18 2024-04-07 0.3 1 "quantile" "site-level infection dynamics"
+"20 day ahead inc hosp" "50" 2024-03-18 2024-04-07 0.35 1 "quantile" "site-level infection dynamics"
+"20 day ahead inc hosp" "50" 2024-03-18 2024-04-07 0.4 1 "quantile" "site-level infection dynamics"
+"20 day ahead inc hosp" "50" 2024-03-18 2024-04-07 0.45 1 "quantile" "site-level infection dynamics"
+"20 day ahead inc hosp" "50" 2024-03-18 2024-04-07 0.5 2 "quantile" "site-level infection dynamics"
+"20 day ahead inc hosp" "50" 2024-03-18 2024-04-07 0.55 2 "quantile" "site-level infection dynamics"
+"20 day ahead inc hosp" "50" 2024-03-18 2024-04-07 0.6 2 "quantile" "site-level infection dynamics"
+"20 day ahead inc hosp" "50" 2024-03-18 2024-04-07 0.65 3 "quantile" "site-level infection dynamics"
+"20 day ahead inc hosp" "50" 2024-03-18 2024-04-07 0.7 3 "quantile" "site-level infection dynamics"
+"20 day ahead inc hosp" "50" 2024-03-18 2024-04-07 0.75 3 "quantile" "site-level infection dynamics"
+"20 day ahead inc hosp" "50" 2024-03-18 2024-04-07 0.8 3 "quantile" "site-level infection dynamics"
+"20 day ahead inc hosp" "50" 2024-03-18 2024-04-07 0.85 4 "quantile" "site-level infection dynamics"
+"20 day ahead inc hosp" "50" 2024-03-18 2024-04-07 0.9 4 "quantile" "site-level infection dynamics"
+"20 day ahead inc hosp" "50" 2024-03-18 2024-04-07 0.95 5 "quantile" "site-level infection dynamics"
+"20 day ahead inc hosp" "50" 2024-03-18 2024-04-07 0.975 5.52499999999999 "quantile" "site-level infection dynamics"
+"20 day ahead inc hosp" "50" 2024-03-18 2024-04-07 0.99 7.01000000000001 "quantile" "site-level infection dynamics"
+"21 day ahead inc hosp" "50" 2024-03-18 2024-04-08 0.01 0 "quantile" "site-level infection dynamics"
+"21 day ahead inc hosp" "50" 2024-03-18 2024-04-08 0.025 0 "quantile" "site-level infection dynamics"
+"21 day ahead inc hosp" "50" 2024-03-18 2024-04-08 0.05 0 "quantile" "site-level infection dynamics"
+"21 day ahead inc hosp" "50" 2024-03-18 2024-04-08 0.1 0 "quantile" "site-level infection dynamics"
+"21 day ahead inc hosp" "50" 2024-03-18 2024-04-08 0.15 1 "quantile" "site-level infection dynamics"
+"21 day ahead inc hosp" "50" 2024-03-18 2024-04-08 0.2 1 "quantile" "site-level infection dynamics"
+"21 day ahead inc hosp" "50" 2024-03-18 2024-04-08 0.25 1 "quantile" "site-level infection dynamics"
+"21 day ahead inc hosp" "50" 2024-03-18 2024-04-08 0.3 1 "quantile" "site-level infection dynamics"
+"21 day ahead inc hosp" "50" 2024-03-18 2024-04-08 0.35 1 "quantile" "site-level infection dynamics"
+"21 day ahead inc hosp" "50" 2024-03-18 2024-04-08 0.4 2 "quantile" "site-level infection dynamics"
+"21 day ahead inc hosp" "50" 2024-03-18 2024-04-08 0.45 2 "quantile" "site-level infection dynamics"
+"21 day ahead inc hosp" "50" 2024-03-18 2024-04-08 0.5 2 "quantile" "site-level infection dynamics"
+"21 day ahead inc hosp" "50" 2024-03-18 2024-04-08 0.55 2 "quantile" "site-level infection dynamics"
+"21 day ahead inc hosp" "50" 2024-03-18 2024-04-08 0.6 3 "quantile" "site-level infection dynamics"
+"21 day ahead inc hosp" "50" 2024-03-18 2024-04-08 0.65 3 "quantile" "site-level infection dynamics"
+"21 day ahead inc hosp" "50" 2024-03-18 2024-04-08 0.7 3 "quantile" "site-level infection dynamics"
+"21 day ahead inc hosp" "50" 2024-03-18 2024-04-08 0.75 4 "quantile" "site-level infection dynamics"
+"21 day ahead inc hosp" "50" 2024-03-18 2024-04-08 0.8 4 "quantile" "site-level infection dynamics"
+"21 day ahead inc hosp" "50" 2024-03-18 2024-04-08 0.85 4 "quantile" "site-level infection dynamics"
+"21 day ahead inc hosp" "50" 2024-03-18 2024-04-08 0.9 5 "quantile" "site-level infection dynamics"
+"21 day ahead inc hosp" "50" 2024-03-18 2024-04-08 0.95 6 "quantile" "site-level infection dynamics"
+"21 day ahead inc hosp" "50" 2024-03-18 2024-04-08 0.975 6.52499999999999 "quantile" "site-level infection dynamics"
+"21 day ahead inc hosp" "50" 2024-03-18 2024-04-08 0.99 8 "quantile" "site-level infection dynamics"
+"22 day ahead inc hosp" "50" 2024-03-18 2024-04-09 0.01 0 "quantile" "site-level infection dynamics"
+"22 day ahead inc hosp" "50" 2024-03-18 2024-04-09 0.025 0 "quantile" "site-level infection dynamics"
+"22 day ahead inc hosp" "50" 2024-03-18 2024-04-09 0.05 0 "quantile" "site-level infection dynamics"
+"22 day ahead inc hosp" "50" 2024-03-18 2024-04-09 0.1 0 "quantile" "site-level infection dynamics"
+"22 day ahead inc hosp" "50" 2024-03-18 2024-04-09 0.15 1 "quantile" "site-level infection dynamics"
+"22 day ahead inc hosp" "50" 2024-03-18 2024-04-09 0.2 1 "quantile" "site-level infection dynamics"
+"22 day ahead inc hosp" "50" 2024-03-18 2024-04-09 0.25 1 "quantile" "site-level infection dynamics"
+"22 day ahead inc hosp" "50" 2024-03-18 2024-04-09 0.3 1 "quantile" "site-level infection dynamics"
+"22 day ahead inc hosp" "50" 2024-03-18 2024-04-09 0.35 1 "quantile" "site-level infection dynamics"
+"22 day ahead inc hosp" "50" 2024-03-18 2024-04-09 0.4 2 "quantile" "site-level infection dynamics"
+"22 day ahead inc hosp" "50" 2024-03-18 2024-04-09 0.45 2 "quantile" "site-level infection dynamics"
+"22 day ahead inc hosp" "50" 2024-03-18 2024-04-09 0.5 2 "quantile" "site-level infection dynamics"
+"22 day ahead inc hosp" "50" 2024-03-18 2024-04-09 0.55 2 "quantile" "site-level infection dynamics"
+"22 day ahead inc hosp" "50" 2024-03-18 2024-04-09 0.6 3 "quantile" "site-level infection dynamics"
+"22 day ahead inc hosp" "50" 2024-03-18 2024-04-09 0.65 3 "quantile" "site-level infection dynamics"
+"22 day ahead inc hosp" "50" 2024-03-18 2024-04-09 0.7 3 "quantile" "site-level infection dynamics"
+"22 day ahead inc hosp" "50" 2024-03-18 2024-04-09 0.75 3.25000000000001 "quantile" "site-level infection dynamics"
+"22 day ahead inc hosp" "50" 2024-03-18 2024-04-09 0.8 4 "quantile" "site-level infection dynamics"
+"22 day ahead inc hosp" "50" 2024-03-18 2024-04-09 0.85 5 "quantile" "site-level infection dynamics"
+"22 day ahead inc hosp" "50" 2024-03-18 2024-04-09 0.9 5 "quantile" "site-level infection dynamics"
+"22 day ahead inc hosp" "50" 2024-03-18 2024-04-09 0.95 6.05 "quantile" "site-level infection dynamics"
+"22 day ahead inc hosp" "50" 2024-03-18 2024-04-09 0.975 7.52499999999999 "quantile" "site-level infection dynamics"
+"22 day ahead inc hosp" "50" 2024-03-18 2024-04-09 0.99 8.04000000000002 "quantile" "site-level infection dynamics"
+"23 day ahead inc hosp" "50" 2024-03-18 2024-04-10 0.01 0 "quantile" "site-level infection dynamics"
+"23 day ahead inc hosp" "50" 2024-03-18 2024-04-10 0.025 0 "quantile" "site-level infection dynamics"
+"23 day ahead inc hosp" "50" 2024-03-18 2024-04-10 0.05 0 "quantile" "site-level infection dynamics"
+"23 day ahead inc hosp" "50" 2024-03-18 2024-04-10 0.1 0 "quantile" "site-level infection dynamics"
+"23 day ahead inc hosp" "50" 2024-03-18 2024-04-10 0.15 0.850000000000001 "quantile" "site-level infection dynamics"
+"23 day ahead inc hosp" "50" 2024-03-18 2024-04-10 0.2 1 "quantile" "site-level infection dynamics"
+"23 day ahead inc hosp" "50" 2024-03-18 2024-04-10 0.25 1 "quantile" "site-level infection dynamics"
+"23 day ahead inc hosp" "50" 2024-03-18 2024-04-10 0.3 1 "quantile" "site-level infection dynamics"
+"23 day ahead inc hosp" "50" 2024-03-18 2024-04-10 0.35 1 "quantile" "site-level infection dynamics"
+"23 day ahead inc hosp" "50" 2024-03-18 2024-04-10 0.4 1.6 "quantile" "site-level infection dynamics"
+"23 day ahead inc hosp" "50" 2024-03-18 2024-04-10 0.45 2 "quantile" "site-level infection dynamics"
+"23 day ahead inc hosp" "50" 2024-03-18 2024-04-10 0.5 2 "quantile" "site-level infection dynamics"
+"23 day ahead inc hosp" "50" 2024-03-18 2024-04-10 0.55 2 "quantile" "site-level infection dynamics"
+"23 day ahead inc hosp" "50" 2024-03-18 2024-04-10 0.6 3 "quantile" "site-level infection dynamics"
+"23 day ahead inc hosp" "50" 2024-03-18 2024-04-10 0.65 3 "quantile" "site-level infection dynamics"
+"23 day ahead inc hosp" "50" 2024-03-18 2024-04-10 0.7 3 "quantile" "site-level infection dynamics"
+"23 day ahead inc hosp" "50" 2024-03-18 2024-04-10 0.75 3 "quantile" "site-level infection dynamics"
+"23 day ahead inc hosp" "50" 2024-03-18 2024-04-10 0.8 4 "quantile" "site-level infection dynamics"
+"23 day ahead inc hosp" "50" 2024-03-18 2024-04-10 0.85 4 "quantile" "site-level infection dynamics"
+"23 day ahead inc hosp" "50" 2024-03-18 2024-04-10 0.9 5 "quantile" "site-level infection dynamics"
+"23 day ahead inc hosp" "50" 2024-03-18 2024-04-10 0.95 6 "quantile" "site-level infection dynamics"
+"23 day ahead inc hosp" "50" 2024-03-18 2024-04-10 0.975 7 "quantile" "site-level infection dynamics"
+"23 day ahead inc hosp" "50" 2024-03-18 2024-04-10 0.99 8.01000000000001 "quantile" "site-level infection dynamics"
+"24 day ahead inc hosp" "50" 2024-03-18 2024-04-11 0.01 0 "quantile" "site-level infection dynamics"
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+"24 day ahead inc hosp" "50" 2024-03-18 2024-04-11 0.99 5.02000000000001 "quantile" "site-level infection dynamics"
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+"24 day ahead inc hosp" "US" 2024-03-18 2024-04-11 0.55 970 "quantile" "state-level aggregated wastewater"
+"24 day ahead inc hosp" "US" 2024-03-18 2024-04-11 0.6 1018.8 "quantile" "state-level aggregated wastewater"
+"24 day ahead inc hosp" "US" 2024-03-18 2024-04-11 0.65 1067.05 "quantile" "state-level aggregated wastewater"
+"24 day ahead inc hosp" "US" 2024-03-18 2024-04-11 0.7 1129 "quantile" "state-level aggregated wastewater"
+"24 day ahead inc hosp" "US" 2024-03-18 2024-04-11 0.75 1166.25 "quantile" "state-level aggregated wastewater"
+"24 day ahead inc hosp" "US" 2024-03-18 2024-04-11 0.8 1226.2 "quantile" "state-level aggregated wastewater"
+"24 day ahead inc hosp" "US" 2024-03-18 2024-04-11 0.85 1378.85 "quantile" "state-level aggregated wastewater"
+"24 day ahead inc hosp" "US" 2024-03-18 2024-04-11 0.9 1497.6 "quantile" "state-level aggregated wastewater"
+"24 day ahead inc hosp" "US" 2024-03-18 2024-04-11 0.95 1682.35 "quantile" "state-level aggregated wastewater"
+"24 day ahead inc hosp" "US" 2024-03-18 2024-04-11 0.975 2055.9 "quantile" "state-level aggregated wastewater"
+"24 day ahead inc hosp" "US" 2024-03-18 2024-04-11 0.99 2657.53 "quantile" "state-level aggregated wastewater"
+"25 day ahead inc hosp" "US" 2024-03-18 2024-04-12 0.01 204.66 "quantile" "state-level aggregated wastewater"
+"25 day ahead inc hosp" "US" 2024-03-18 2024-04-12 0.025 241.85 "quantile" "state-level aggregated wastewater"
+"25 day ahead inc hosp" "US" 2024-03-18 2024-04-12 0.05 286.65 "quantile" "state-level aggregated wastewater"
+"25 day ahead inc hosp" "US" 2024-03-18 2024-04-12 0.1 371.1 "quantile" "state-level aggregated wastewater"
+"25 day ahead inc hosp" "US" 2024-03-18 2024-04-12 0.15 465.3 "quantile" "state-level aggregated wastewater"
+"25 day ahead inc hosp" "US" 2024-03-18 2024-04-12 0.2 540.2 "quantile" "state-level aggregated wastewater"
+"25 day ahead inc hosp" "US" 2024-03-18 2024-04-12 0.25 607.5 "quantile" "state-level aggregated wastewater"
+"25 day ahead inc hosp" "US" 2024-03-18 2024-04-12 0.3 653.2 "quantile" "state-level aggregated wastewater"
+"25 day ahead inc hosp" "US" 2024-03-18 2024-04-12 0.35 674.55 "quantile" "state-level aggregated wastewater"
+"25 day ahead inc hosp" "US" 2024-03-18 2024-04-12 0.4 754.2 "quantile" "state-level aggregated wastewater"
+"25 day ahead inc hosp" "US" 2024-03-18 2024-04-12 0.45 827.1 "quantile" "state-level aggregated wastewater"
+"25 day ahead inc hosp" "US" 2024-03-18 2024-04-12 0.5 892 "quantile" "state-level aggregated wastewater"
+"25 day ahead inc hosp" "US" 2024-03-18 2024-04-12 0.55 912.8 "quantile" "state-level aggregated wastewater"
+"25 day ahead inc hosp" "US" 2024-03-18 2024-04-12 0.6 933.8 "quantile" "state-level aggregated wastewater"
+"25 day ahead inc hosp" "US" 2024-03-18 2024-04-12 0.65 1005.8 "quantile" "state-level aggregated wastewater"
+"25 day ahead inc hosp" "US" 2024-03-18 2024-04-12 0.7 1064 "quantile" "state-level aggregated wastewater"
+"25 day ahead inc hosp" "US" 2024-03-18 2024-04-12 0.75 1150.25 "quantile" "state-level aggregated wastewater"
+"25 day ahead inc hosp" "US" 2024-03-18 2024-04-12 0.8 1245.6 "quantile" "state-level aggregated wastewater"
+"25 day ahead inc hosp" "US" 2024-03-18 2024-04-12 0.85 1327.6 "quantile" "state-level aggregated wastewater"
+"25 day ahead inc hosp" "US" 2024-03-18 2024-04-12 0.9 1408.4 "quantile" "state-level aggregated wastewater"
+"25 day ahead inc hosp" "US" 2024-03-18 2024-04-12 0.95 1629.4 "quantile" "state-level aggregated wastewater"
+"25 day ahead inc hosp" "US" 2024-03-18 2024-04-12 0.975 1981.875 "quantile" "state-level aggregated wastewater"
+"25 day ahead inc hosp" "US" 2024-03-18 2024-04-12 0.99 2711.48 "quantile" "state-level aggregated wastewater"
+"26 day ahead inc hosp" "US" 2024-03-18 2024-04-13 0.01 162.62 "quantile" "state-level aggregated wastewater"
+"26 day ahead inc hosp" "US" 2024-03-18 2024-04-13 0.025 202.55 "quantile" "state-level aggregated wastewater"
+"26 day ahead inc hosp" "US" 2024-03-18 2024-04-13 0.05 271.1 "quantile" "state-level aggregated wastewater"
+"26 day ahead inc hosp" "US" 2024-03-18 2024-04-13 0.1 299.7 "quantile" "state-level aggregated wastewater"
+"26 day ahead inc hosp" "US" 2024-03-18 2024-04-13 0.15 386.35 "quantile" "state-level aggregated wastewater"
+"26 day ahead inc hosp" "US" 2024-03-18 2024-04-13 0.2 454.6 "quantile" "state-level aggregated wastewater"
+"26 day ahead inc hosp" "US" 2024-03-18 2024-04-13 0.25 507.75 "quantile" "state-level aggregated wastewater"
+"26 day ahead inc hosp" "US" 2024-03-18 2024-04-13 0.3 573.6 "quantile" "state-level aggregated wastewater"
+"26 day ahead inc hosp" "US" 2024-03-18 2024-04-13 0.35 620.95 "quantile" "state-level aggregated wastewater"
+"26 day ahead inc hosp" "US" 2024-03-18 2024-04-13 0.4 662.2 "quantile" "state-level aggregated wastewater"
+"26 day ahead inc hosp" "US" 2024-03-18 2024-04-13 0.45 716.6 "quantile" "state-level aggregated wastewater"
+"26 day ahead inc hosp" "US" 2024-03-18 2024-04-13 0.5 774 "quantile" "state-level aggregated wastewater"
+"26 day ahead inc hosp" "US" 2024-03-18 2024-04-13 0.55 836 "quantile" "state-level aggregated wastewater"
+"26 day ahead inc hosp" "US" 2024-03-18 2024-04-13 0.6 850.4 "quantile" "state-level aggregated wastewater"
+"26 day ahead inc hosp" "US" 2024-03-18 2024-04-13 0.65 899.9 "quantile" "state-level aggregated wastewater"
+"26 day ahead inc hosp" "US" 2024-03-18 2024-04-13 0.7 953.8 "quantile" "state-level aggregated wastewater"
+"26 day ahead inc hosp" "US" 2024-03-18 2024-04-13 0.75 1055.25 "quantile" "state-level aggregated wastewater"
+"26 day ahead inc hosp" "US" 2024-03-18 2024-04-13 0.8 1120 "quantile" "state-level aggregated wastewater"
+"26 day ahead inc hosp" "US" 2024-03-18 2024-04-13 0.85 1190.35 "quantile" "state-level aggregated wastewater"
+"26 day ahead inc hosp" "US" 2024-03-18 2024-04-13 0.9 1387.2 "quantile" "state-level aggregated wastewater"
+"26 day ahead inc hosp" "US" 2024-03-18 2024-04-13 0.95 1468.55 "quantile" "state-level aggregated wastewater"
+"26 day ahead inc hosp" "US" 2024-03-18 2024-04-13 0.975 1886.75 "quantile" "state-level aggregated wastewater"
+"26 day ahead inc hosp" "US" 2024-03-18 2024-04-13 0.99 2623.36 "quantile" "state-level aggregated wastewater"
+"27 day ahead inc hosp" "US" 2024-03-18 2024-04-14 0.01 174.66 "quantile" "state-level aggregated wastewater"
+"27 day ahead inc hosp" "US" 2024-03-18 2024-04-14 0.025 197.825 "quantile" "state-level aggregated wastewater"
+"27 day ahead inc hosp" "US" 2024-03-18 2024-04-14 0.05 251.1 "quantile" "state-level aggregated wastewater"
+"27 day ahead inc hosp" "US" 2024-03-18 2024-04-14 0.1 303.7 "quantile" "state-level aggregated wastewater"
+"27 day ahead inc hosp" "US" 2024-03-18 2024-04-14 0.15 395.05 "quantile" "state-level aggregated wastewater"
+"27 day ahead inc hosp" "US" 2024-03-18 2024-04-14 0.2 429 "quantile" "state-level aggregated wastewater"
+"27 day ahead inc hosp" "US" 2024-03-18 2024-04-14 0.25 522.75 "quantile" "state-level aggregated wastewater"
+"27 day ahead inc hosp" "US" 2024-03-18 2024-04-14 0.3 569.6 "quantile" "state-level aggregated wastewater"
+"27 day ahead inc hosp" "US" 2024-03-18 2024-04-14 0.35 632.95 "quantile" "state-level aggregated wastewater"
+"27 day ahead inc hosp" "US" 2024-03-18 2024-04-14 0.4 677.2 "quantile" "state-level aggregated wastewater"
+"27 day ahead inc hosp" "US" 2024-03-18 2024-04-14 0.45 716 "quantile" "state-level aggregated wastewater"
+"27 day ahead inc hosp" "US" 2024-03-18 2024-04-14 0.5 777 "quantile" "state-level aggregated wastewater"
+"27 day ahead inc hosp" "US" 2024-03-18 2024-04-14 0.55 834.05 "quantile" "state-level aggregated wastewater"
+"27 day ahead inc hosp" "US" 2024-03-18 2024-04-14 0.6 864.4 "quantile" "state-level aggregated wastewater"
+"27 day ahead inc hosp" "US" 2024-03-18 2024-04-14 0.65 956.9 "quantile" "state-level aggregated wastewater"
+"27 day ahead inc hosp" "US" 2024-03-18 2024-04-14 0.7 1023.9 "quantile" "state-level aggregated wastewater"
+"27 day ahead inc hosp" "US" 2024-03-18 2024-04-14 0.75 1065.5 "quantile" "state-level aggregated wastewater"
+"27 day ahead inc hosp" "US" 2024-03-18 2024-04-14 0.8 1141 "quantile" "state-level aggregated wastewater"
+"27 day ahead inc hosp" "US" 2024-03-18 2024-04-14 0.85 1182.8 "quantile" "state-level aggregated wastewater"
+"27 day ahead inc hosp" "US" 2024-03-18 2024-04-14 0.9 1367.7 "quantile" "state-level aggregated wastewater"
+"27 day ahead inc hosp" "US" 2024-03-18 2024-04-14 0.95 1540.35 "quantile" "state-level aggregated wastewater"
+"27 day ahead inc hosp" "US" 2024-03-18 2024-04-14 0.975 1947.225 "quantile" "state-level aggregated wastewater"
+"27 day ahead inc hosp" "US" 2024-03-18 2024-04-14 0.99 2526.47 "quantile" "state-level aggregated wastewater"
+"28 day ahead inc hosp" "US" 2024-03-18 2024-04-15 0.01 161.62 "quantile" "state-level aggregated wastewater"
+"28 day ahead inc hosp" "US" 2024-03-18 2024-04-15 0.025 187.8 "quantile" "state-level aggregated wastewater"
+"28 day ahead inc hosp" "US" 2024-03-18 2024-04-15 0.05 258.85 "quantile" "state-level aggregated wastewater"
+"28 day ahead inc hosp" "US" 2024-03-18 2024-04-15 0.1 336.6 "quantile" "state-level aggregated wastewater"
+"28 day ahead inc hosp" "US" 2024-03-18 2024-04-15 0.15 427 "quantile" "state-level aggregated wastewater"
+"28 day ahead inc hosp" "US" 2024-03-18 2024-04-15 0.2 490.6 "quantile" "state-level aggregated wastewater"
+"28 day ahead inc hosp" "US" 2024-03-18 2024-04-15 0.25 579 "quantile" "state-level aggregated wastewater"
+"28 day ahead inc hosp" "US" 2024-03-18 2024-04-15 0.3 629.3 "quantile" "state-level aggregated wastewater"
+"28 day ahead inc hosp" "US" 2024-03-18 2024-04-15 0.35 657.65 "quantile" "state-level aggregated wastewater"
+"28 day ahead inc hosp" "US" 2024-03-18 2024-04-15 0.4 743.8 "quantile" "state-level aggregated wastewater"
+"28 day ahead inc hosp" "US" 2024-03-18 2024-04-15 0.45 798.7 "quantile" "state-level aggregated wastewater"
+"28 day ahead inc hosp" "US" 2024-03-18 2024-04-15 0.5 885.5 "quantile" "state-level aggregated wastewater"
+"28 day ahead inc hosp" "US" 2024-03-18 2024-04-15 0.55 947.45 "quantile" "state-level aggregated wastewater"
+"28 day ahead inc hosp" "US" 2024-03-18 2024-04-15 0.6 984.2 "quantile" "state-level aggregated wastewater"
+"28 day ahead inc hosp" "US" 2024-03-18 2024-04-15 0.65 1073.1 "quantile" "state-level aggregated wastewater"
+"28 day ahead inc hosp" "US" 2024-03-18 2024-04-15 0.7 1166.1 "quantile" "state-level aggregated wastewater"
+"28 day ahead inc hosp" "US" 2024-03-18 2024-04-15 0.75 1226.75 "quantile" "state-level aggregated wastewater"
+"28 day ahead inc hosp" "US" 2024-03-18 2024-04-15 0.8 1292.6 "quantile" "state-level aggregated wastewater"
+"28 day ahead inc hosp" "US" 2024-03-18 2024-04-15 0.85 1384.35 "quantile" "state-level aggregated wastewater"
+"28 day ahead inc hosp" "US" 2024-03-18 2024-04-15 0.9 1531.3 "quantile" "state-level aggregated wastewater"
+"28 day ahead inc hosp" "US" 2024-03-18 2024-04-15 0.95 1834.25 "quantile" "state-level aggregated wastewater"
+"28 day ahead inc hosp" "US" 2024-03-18 2024-04-15 0.975 2412.475 "quantile" "state-level aggregated wastewater"
+"28 day ahead inc hosp" "US" 2024-03-18 2024-04-15 0.99 2485.26000000001 "quantile" "state-level aggregated wastewater"
diff --git a/output/forecasts/2024-03-18/metadata.yaml b/output/forecasts/2024-03-18/metadata.yaml
new file mode 100644
index 00000000..8dda4ccb
--- /dev/null
+++ b/output/forecasts/2024-03-18/metadata.yaml
@@ -0,0 +1,16 @@
+States without wastewaster data:
+- - MS
+  - ND
+  - PR
+States with insufficient wastewater data:
+- DC
+States we chose to use hospital admissions only model on:
+- - KS
+  - NY
+  - OH
+  - LA
+  - IL
+  - ME
+  - NC
+  - NH
+  - UT
diff --git a/output/forecasts/2024-03-18/wastewater_metadata_table.tsv b/output/forecasts/2024-03-18/wastewater_metadata_table.tsv
new file mode 100644
index 00000000..92090adb
--- /dev/null
+++ b/output/forecasts/2024-03-18/wastewater_metadata_table.tsv
@@ -0,0 +1,53 @@
+location	additional_notes
+AK	None
+AL	None
+AR	None
+AZ	None
+CA	None
+CO	None
+CT	None
+DC	None
+DE	None
+FL	None
+GA	None
+HI	None
+IA	None
+ID	None
+IL	Hospital admissions only model was run due to either issues with input data or model
+IN	None
+KS	Hospital admissions only model was run due to either issues with input data or model
+KY	None
+LA	Hospital admissions only model was run due to either issues with input data or model
+MA	None
+MD	None
+ME	Hospital admissions only model was run due to either issues with input data or model
+MI	None
+MN	None
+MO	None
+MS	None
+MT	None
+NC	Hospital admissions only model was run due to either issues with input data or model
+ND	None
+NE	None
+NH	Hospital admissions only model was run due to either issues with input data or model
+NJ	None
+NM	None
+NV	None
+NY	Hospital admissions only model was run due to either issues with input data or model
+OH	Hospital admissions only model was run due to either issues with input data or model
+OK	None
+OR	None
+PA	None
+PR	None
+RI	None
+SC	None
+SD	None
+TN	None
+TX	None
+UT	Hospital admissions only model was run due to either issues with input data or model
+VA	None
+VT	None
+WA	None
+WI	None
+WV	None
+WY	None
diff --git a/src/write_config.R b/src/write_config.R
index 059d0b41..e9e8b21f 100644
--- a/src/write_config.R
+++ b/src/write_config.R
@@ -83,7 +83,7 @@ write_config <- function(run_id,
       "output", forecast_date,
       stringr::str_glue("run-on-{date_run}-{run_id}")
     ) # nolint
-  path_to_save_metadata <-
+  dir_to_save_metadata <-
     file.path(output_dir, "pipeline_run_metadata")
 
   # Pre-specified delay distributions
@@ -100,31 +100,22 @@ write_config <- function(run_id,
 
   # Assign the dates and locations for hospital admissions to be manually
   # removed
-  last_1 <- lubridate::ymd("2024-03-01")
+
+  last_1 <- lubridate::ymd("2024-03-08")
   dates_for_hosp_removal <- c(
-    lubridate::ymd("2024-02-27"), # CA 4th to last
-    last_1, # NE last data point
+    lubridate::ymd("2024-03-07"), # IA 2nd to last
     seq(
       from = lubridate::ymd("2024-02-27"),
       to = lubridate::ymd("2024-02-29"),
       by = "days"
     ), # NM 4th to last to second to last repeated data points
-    last_1, # OK
-    last_1, # OR
-    seq(
-      from = lubridate::ymd("2024-02-29"),
-      to = lubridate::ymd("2024-03-01"),
-      by = "days"
-    ) # WI last two
+    last_1 # SC
   )
 
   states_for_hosp_removal <- c(
-    rep("CA", 1),
-    rep("NE", 1),
+    rep("IA", 1),
     rep("NM", 3),
-    rep("OK", 1),
-    rep("OR", 1),
-    rep("WI", 2)
+    rep("SC", 1)
   )
 
 
@@ -205,7 +196,7 @@ write_config <- function(run_id,
     inf_to_hosp = inf_to_hosp,
     submitting_model_name = submitting_model_name,
     prod_run = prod_run,
-    path_to_save_metadata = path_to_save_metadata,
+    dir_to_save_metadata = dir_to_save_metadata,
     config_file_path = fp
   )