diff --git a/R/extract_diagnostics.R b/R/extract_diagnostics.R
index f0bd459..6c90525 100644
--- a/R/extract_diagnostics.R
+++ b/R/extract_diagnostics.R
@@ -4,8 +4,8 @@
 #' model and provided data. It checks for low case counts and computes
 #' diagnostics from the fitted model, including the mean acceptance
 #' statistic, divergent transitions, maximum tree depth, and Rhat values.
-#' These diagnostics are then flagged if they exceed specific thresholds,
-#' and the results are returned as a data frame.
+#' Additionally, a combined flag is computed indicating if any diagnostics
+#' are outside an acceptable range. The results are returned as a data frame.
 #'
 #' @param fit The model fit object from `EpiNow2`
 #' @param data A data frame containing the input data used in the model fit.
@@ -42,9 +42,9 @@
 #'         counts in the data. See \code{low_case_count_diagnostic()} for more
 #'         information on this diagnostic.
 #'   \item \code{epinow2_diagnostic_flag}: A combined flag that indicates if
-#'         any diagnostic thresholds are exceeded. The diagnostic thresholds
-#'         (1) mean_accept_stat < 0.1, (2) p_divergent > 0.0075, (3)
-#'         p_max_treedepth > 0.05, and (4) p_high_rhat > 0.0075.
+#'         any diagnostic metrics are outside an accepted range, as determined
+#'         by the thresholds: (1) mean_accept_stat < 0.1, (2) p_divergent >
+#'         0.0075, (3) p_max_treedepth > 0.05, and (4) p_high_rhat > 0.0075.
 #' }
 #' @export
 extract_diagnostics <- function(fit,
diff --git a/man/Exclusions.Rd b/man/Exclusions.Rd
index d58cc13..2b9e2e2 100644
--- a/man/Exclusions.Rd
+++ b/man/Exclusions.Rd
@@ -9,7 +9,7 @@ Exclusions(path = character(0), blob_storage_container = character(0))
 \arguments{
 \item{path}{A string specifying the path to a CSV file containing exclusion
 data. It should include at least the columns: \code{reference_date},
-\code{report_date}, ' \code{state_abb}, \code{disease}.}
+\code{report_date}, \code{state_abb}, \code{disease}.}
 
 \item{blob_storage_container}{Optional. The name of the blob storage
 container to get it from. If NULL, will look locally.}
diff --git a/man/extract_diagnostics.Rd b/man/extract_diagnostics.Rd
index 5eb2e00..9ec84fb 100644
--- a/man/extract_diagnostics.Rd
+++ b/man/extract_diagnostics.Rd
@@ -33,8 +33,8 @@ This function extracts various diagnostic metrics from a fitted \code{EpiNow2}
 model and provided data. It checks for low case counts and computes
 diagnostics from the fitted model, including the mean acceptance
 statistic, divergent transitions, maximum tree depth, and Rhat values.
-These diagnostics are then flagged if they exceed specific thresholds,
-and the results are returned as a data frame.
+Additionally, a combined flag is computed indicating if any diagnostics
+are outside an acceptable range. The results are returned as a data frame.
 }
 \details{
 The following diagnostics are calculated:
@@ -55,8 +55,8 @@ greater than 1.05, indicating potential convergence issues.
 counts in the data. See \code{low_case_count_diagnostic()} for more
 information on this diagnostic.
 \item \code{epinow2_diagnostic_flag}: A combined flag that indicates if
-any diagnostic thresholds are exceeded. The diagnostic thresholds
-(1) mean_accept_stat < 0.1, (2) p_divergent > 0.0075, (3)
-p_max_treedepth > 0.05, and (4) p_high_rhat > 0.0075.
+any diagnostic metrics are outside an accepted range, as determined
+by the thresholds: (1) mean_accept_stat < 0.1, (2) p_divergent >
+0.0075, (3) p_max_treedepth > 0.05, and (4) p_high_rhat > 0.0075.
 }
 }