Abstract
Serological surveys, such as EPICOVID19 (), are important to monitor the evolution of COVID-19 in a population. In this letter, we discuss how to best estimate its prevalence. It is well known that the naive estimator of prevalence that consists of counting how many individuals tested positive ignores the possibility of test errors and may therefore substantially bias the conclusions. The often-used Rogan-Gladen estimator () is an alternative that provides corrected confidence intervals based on sensitivity/specificity values. However, this estimator [...]
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