Calibrating COVID-19 community transmission risk levels to reflect infection prevalence.

ABSTRACT: Many organizations, including the US Centers for Disease Control and Prevention, have developed risk indexes to help determine community transmission levels for the ongoing COVID-19 pandemic. These risk indexes are largely based on newly reported cases and percentage of positive SARS-CoV-2 diagnostic nucleic acid amplification tests, which are well-established as biased estimates of COVID-19 transmission. However, transmission risk indexes should accurately and precisely communicate community risks to decision-makers and the public. Therefore, transmission risk indexes would ideally quantify actual, and not just reported, levels of disease prevalence or incidence. Here, we develop a robust data-driven framework for determining and communicating community transmission risk levels using repo

SUBMITTER: Chiu WA 

PROVIDER: S-EPMC9595424 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature