Multimodal surveillance of SARS-CoV-2 at a university enables development of a robust outbreak response framework.

ABSTRACT:

Background

Universities are vulnerable to infectious disease outbreaks, making them ideal environments to study transmission dynamics and evaluate mitigation and surveillance measures. Here, we analyze multimodal COVID-19-associated data collected during the 2020-2021 academic year at Colorado Mesa University and introduce a SARS-CoV-2 surveillance and response framework.

Methods

We analyzed epidemiological and sociobehavioral data (demographics, contact tracing, and WiFi-based co-location data) alongside pathogen surveillance data (wastewater and diagnostic testing, and viral genomic sequencing of wastewater and clinical specimens) to characterize outbreak dynamics and inform policy. We applied relative risk, multiple linear regression, and social network assortativity to i

SUBMITTER: Petros BA 

PROVIDER: S-EPMC9482833 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature