Overcoming spectrum bias for accurate SARS-CoV-2 seroprevalence estimates

BMJ. 2021 Apr 12:373:n917. doi: 10.1136/bmj.n917.

Authors

Milo A Puhan¹, Arnaud Chiolero^{2

3}, Jan Fehr¹, Stéphane Cullati²; Corona Immunitas Research Group

Affiliations

¹ Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Hirschengraben 84, 8001 Zurich, Switzerland.
² Population Heath Laboratory (#PopHealthLab), University of Fribourg, Fribourg, Switzerland.
³ School of Population and Global Health, McGill University, Montreal, Canada.

PMID: 33846210
DOI: 10.1136/bmj.n917

No abstract available

Publication types

Letter

MeSH terms

COVID-19 Serological Testing* / methods
COVID-19 Serological Testing* / standards
COVID-19 Serological Testing* / statistics & numerical data
COVID-19* / diagnosis
COVID-19* / epidemiology
COVID-19* / prevention & control
Humans
Reproducibility of Results
SARS-CoV-2 / immunology
Seroepidemiologic Studies
Switzerland / epidemiology