Predictive values of time-dense SARS-CoV-2 wastewater analysis in university campus buildings.

ABSTRACT: Wastewater-based SARS-CoV-2 surveillance on college campuses has the ability to detect individual clinical COVID-19 cases at the building-level. High concordance of wastewater results and clinical cases has been observed when calculated over a time window of four days or longer and in settings with high incidence of infection. At Duke University, twice a week clinical surveillance of all resident undergraduates was carried out in the spring 2021 semester. We conducted simultaneous wastewater surveillance with daily frequency on selected residence halls to assess wastewater as an early warning tool during times of low transmission with the hope of scaling down clinical test frequency. We evaluated the temporal relationship of the two time-dense data sets, wastewater and clinical, and sought

SUBMITTER: Welling CM 

PROVIDER: S-EPMC9026951 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature