Elimination of covid-19: beware of surveillance bias

BMJ. 2021 Sep 3:374:n2126. doi: 10.1136/bmj.n2126.

Authors

Stefano Tancredi^{1

2}, Daniela Anker¹, Laura Rosella³, Arnaud Chiolero^{1

4}

Affiliations

¹ Population Health Laboratory (#PopHealthLab), University of Fribourg, Fribourg, Switzerland.
² Department of Biomedical, Metabolic, and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy.
³ Dalla Lana School of Public Health, University of Toronto, ON, Canada.
⁴ School of Population and Global Health, McGill University, Montreal, QC, Canada.

PMID: 34479862
DOI: 10.1136/bmj.n2126

No abstract available

Publication types

Letter

MeSH terms

Asymptomatic Infections / epidemiology
Bias*
COVID-19 / epidemiology*
COVID-19 / transmission
COVID-19 Testing / statistics & numerical data
Hospitalization / statistics & numerical data
Humans
Incidence
Pandemics*
Population Surveillance*
SARS-CoV-2
United Kingdom / epidemiology