Integrating wastewater and randomised prevalence survey data for national COVID surveillance.

ABSTRACT: During the COVID-19 pandemic, studies in a number of countries have shown how wastewater can be used as an efficient surveillance tool to detect outbreaks at much lower cost than traditional prevalence surveys. In this study, we consider the utilisation of wastewater data in the post-pandemic setting, in which collection of health data via national randomised prevalence surveys will likely be run at a reduced scale; hence an affordable ongoing surveillance system will need to combine sparse prevalence data with non-traditional disease metrics such as wastewater measurements in order to estimate disease progression in a cost-effective manner. Here, we use data collected during the pandemic to model the dynamic relationship between spatially granular wastewater viral load and disease prevale

SUBMITTER: Li G 

PROVIDER: S-EPMC10907376 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature