| Literature DB >> 32856712 |
Saki Takahashi1, Bryan Greenhouse1,2, Isabel Rodríguez-Barraquer1.
Abstract
Biased seroprevalence estimates can occur using serological assays optimized with validation sets unrepresentative of disease spectrum in the general population. Correct interpretation of serosurveys for severe acute respiratory syndrome coronavirus 2 requires quantifying variations in sensitivity with disease severity and over time.Entities:
Keywords: COVID-19; SARS-CoV-2 seroprevalence; antibody testing; spectrum bias; test performance
Mesh:
Substances:
Year: 2020 PMID: 32856712 PMCID: PMC7499591 DOI: 10.1093/infdis/jiaa523
Source DB: PubMed Journal: J Infect Dis ISSN: 0022-1899 Impact factor: 5.226