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Bayesian generative modeling for heterogeneous wastewater data applied to COVID-19 forecasting
2026-02-24
infectious diseases
Title + abstract only
View on medRxiv
Show abstract
Infectious disease forecasts can inform public health decision-making. Wastewater monitoring is a relatively new epidemiological data source with multiple potential applications, including forecasting. Incorporating wastewater data into epidemiological forecasting models is challenging, and relatively few studies have assessed whether this improves forecast performance. We present and evaluate a semi-mechanistic wastewater-informed forecasting model. The model forecasts COVID-19 hospital admissi...
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