Abstract
Measuring the prevalence of active SARS-CoV-2 infections in the general population is difficult because tests are conducted on a small and non-random segment of the population. However, hospitalized patients are tested at very high rates, even those admitted for non-COVID reasons. We show how to use information on testing of non-COVID hospitalized patients to obtain tight bounds on population prevalence, under conditions weaker than those usually used. We apply our approach to the population of test and hospitalization data for Indiana, and validate our approach. Our bounds could be constructed at relatively low cost, and for other heavily tested populations.
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© 2022 by the President and Fellows of Harvard College and the Massachusetts Institute of Technology
2022
The President and Fellows of Harvard College and the Massachusetts Institute of Technology
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