Model training periods impact estimation of COVID-19 incidence from wastewater viral loads.

ABSTRACT: Wastewater-based epidemiology (WBE) has been deployed broadly as an early warning tool for emerging COVID-19 outbreaks. WBE can inform targeted interventions and identify communities with high transmission, enabling quick and effective responses. As the wastewater (WW) becomes an increasingly important indicator for COVID-19 transmission, more robust methods and metrics are needed to guide public health decision-making. This research aimed to develop and implement a mathematical framework to infer incident cases of COVID-19 from SARS-CoV-2 levels measured in WW. We propose a classification scheme to assess the adequacy of model training periods based on clinical testing rates and assess the sensitivity of model predictions to training periods. A testing period is classified as adequate whe

SUBMITTER: Daza-Torres ML 

PROVIDER: S-EPMC9597566 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature