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

Takahashi, Saki; Greenhouse, Bryan; Rodríguez-Barraquer, Isabel

Takahashi, Saki; Greenhouse, Bryan; Rodríguez-Barraquer, Isabel.

Takahashi S; EPPIcenter Program, Division of HIV, ID, and Global Medicine, Department of Medicine, University of California, San Francisco, San Francisco, California, USA.
Greenhouse B; EPPIcenter Program, Division of HIV, ID, and Global Medicine, Department of Medicine, University of California, San Francisco, San Francisco, California, USA.
Rodríguez-Barraquer I; Chan Zuckerberg Biohub, San Francisco, California, USA.

J Infect Dis ; 222(11): 1772-1775, 2020 11 09.

Article en En | MEDLINE | ID: mdl-32856712

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.

Asunto(s)

Prueba de COVID-19/métodos; COVID-19/epidemiología; SARS-CoV-2/aislamiento & purificación; Anticuerpos Antivirales/sangre; COVID-19/sangre; COVID-19/inmunología; Técnicas de Laboratorio Clínico/métodos; Humanos; Pandemias; SARS-CoV-2/inmunología; Estudios Seroepidemiológicos

Palabras clave

COVID-19; SARS-CoV-2 seroprevalence; antibody testing; spectrum bias; test performance

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Prueba de COVID-19 / SARS-CoV-2 / COVID-19 Tipo de estudio: Diagnostic_studies Límite: Humans Idioma: En Año: 2020 Tipo del documento: Article

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