Back to search

Article

Bayesian generative modeling for heterogeneous wastewater data applied to COVID-19 forecasting

2026-02-24

Abstract excerpt

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 w...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
2447887b-3271-52bd-b692-5cb466d9b9d6
DOI
10.64898/2026.02.23.26346887
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Bayesian generative modeling for heterogeneous wastewater data applied to COVID-19 forecastingDOI 10.64898/2026.02.23.26346887
Select a neighboring publication to make it the new centre.