Unknown

Dataset Information

Asymptomatic SARS-CoV-2 infection: A systematic review and meta-analysis.


ABSTRACT: Quantification of asymptomatic infections is fundamental for effective public health responses to the COVID-19 pandemic. Discrepancies regarding the extent of asymptomaticity have arisen from inconsistent terminology as well as conflation of index and secondary cases which biases toward lower asymptomaticity. We searched PubMed, Embase, Web of Science, and World Health Organization Global Research Database on COVID-19 between January 1, 2020 and April 2, 2021 to identify studies that reported silent infections at the time of testing, whether presymptomatic or asymptomatic. Index cases were removed to minimize representational bias that would result in overestimation of symptomaticity. By analyzing over 350 studies, we estimate that the percentage of infections that never developed clinical

SUBMITTER: Sah P 

PROVIDER: S-EPMC8403749 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature