Are Seroprevalence Estimates for Severe Acute Respiratory Syndrome Coronavirus 2 Biased?

Author:

Takahashi Saki1ORCID,Greenhouse Bryan12ORCID,Rodríguez-Barraquer Isabel1ORCID

Affiliation:

1. EPPIcenter Program, Division of HIV, ID, and Global Medicine, Department of Medicine, University of California, San Francisco, San Francisco, California, USA

2. Chan Zuckerberg Biohub, San Francisco, California, USA

Abstract

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.

Funder

Rhodes Trust

Publisher

Oxford University Press (OUP)

Subject

Infectious Diseases,Immunology and Allergy

Reference20 articles.

1. Repeated seroprevalence of anti-SARS-CoV-2 IgG antibodies in a population-based sample from Geneva, Switzerland;Stringhini;Lancet,2020

2. Serology assays to manage COVID-19.;Krammer,2020

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