Potential for Bias in Prevalence Estimates when Not Accounting for Test Sensitivity and Specificity: A Systematic Review of COVID-19 Seroprevalence Studies

Potential for Bias in Prevalence Estimates when Not Accounting for Test Sensitivity and Specificity: A Systematic Review of COVID-19 Seroprevalence Studies

ObjectivesThe COVID-19 pandemic has led to many studies of seroprevalence. A number of methods exist in the statistical literature to correctly estimate disease prevalence or seroprevalence in the presence of diagnostic test misclassification, but these methods seem to be not routinely used in the p...

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Bibliographic Details
Main Authors: Sarah R. Haile, David Kronthaler
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-07-01
Series:International Journal of Public Health
Subjects:
prevalence
seroprevalence
diagnostic tests
statistical methods
Rogen-Gladen
bayesian
Online Access:https://www.ssph-journal.org/articles/10.3389/ijph.2025.1608343/full
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