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-# CFA wastewater-informed hospital admissions forecasts
+# Bayesian generative modeling for heterogeneous wastewater data applied to COVID-19 forecasting
+This repository contains the code to generate the results of evaluating retrospectively the forecast performance of a wastewater-informed forecasting model, both compared to a model without wastewater data and compared to other models submitted to the  [COVID-19 Forecast Hub](https://github.com/reichlab/covid19-forecast-hub/tree/master) over the 2023-24 epidemic season. 
+The model is run using the [`wwinference` R package](https://github.com/CDCgov/ww-inference-model), please see that GitHub repository for a mathematical description of the model. 
+
+This codebase was previously used for real-time submissioned to the COVID-19 Forecast Hub, spanning the dates from February 5th, 2024 to April 29th, 2024.
+The model used to generate those submissions has since been ported over to the [`wwinference` R package](https://github.com/CDCgov/ww-inference-model) and has been modified from its original structure. 
 
 ### Update on Covid-19 Forecast Hub Submissions
 As of May 2024, the  [COVID-19 Forecast Hub](https://github.com/reichlab/covid19-forecast-hub/tree/master) has paused submission of forecasts. We plan to resume submitting wastewater-informed forecasts to the Hub when it reopens submissions.