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.
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APA
Takahashi, S., Greenhouse, B., & Rodríguez-Barraquer, I. (2020, December 1). Are Seroprevalence Estimates for Severe Acute Respiratory Syndrome Coronavirus 2 Biased? Journal of Infectious Diseases. Oxford University Press. https://doi.org/10.1093/infdis/jiaa523
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