Estimation without Representation: Early Severe Acute Respiratory Syndrome Coronavirus 2 Seroprevalence Studies and the Path Forward

Citation

Shook-Sa, Bonnie E.; Boyce, Ross M.; & Aiello, Allison E. (2020). Estimation without Representation: Early Severe Acute Respiratory Syndrome Coronavirus 2 Seroprevalence Studies and the Path Forward. Journal of Infectious Diseases, 222(7), 1086-1089. PMCID: PMC7454696

Abstract

The recent development and regulatory approval of a variety of serological assays indicating the presence of antibodies against severe acute respiratory syndrome coronavirus 2 has led to rapid and widespread implementation of seroprevalence studies. Accurate estimates of seroprevalence are needed to model transmission dynamics and estimate mortality rates. Furthermore, seroprevalence levels in a population help guide policy surrounding reopening efforts. The literature to date has focused heavily on issues surrounding the quality of seroprevalence tests and less on the sampling methods that ultimately drive the representativeness of resulting estimates. Seroprevalence studies based on convenience samples are being reported widely and extrapolated to larger populations for the estimation of total coronavirus disease 2019 (COVID-19) infections, comparisons of prevalence across geographic regions, and estimation of mortality rates. In this viewpoint, we discuss the pitfalls that can arise with the use of convenience samples and offer guidance for moving towards more representative and timely population estimates of COVID-19 seroprevalence.

URL

http://dx.doi.org/10.1093/infdis/jiaa429

Reference Type

Journal Article

Year Published

2020

Journal Title

Journal of Infectious Diseases

Author(s)

Shook-Sa, Bonnie E.
Boyce, Ross M.
Aiello, Allison E.

Article Type

Regular

PMCID

PMC7454696

Continent/Country

Nonspecific

ORCiD

Aiello - 0000-0001-7029-2537
Boyce, R - 0000-0002-9489-6324