Two University of Washington scientists have developed a statistical framework that incorporates key COVID-19 data — such as case counts and deaths due to COVID-19 — to model the true prevalence of this disease in the United States and individual states. Their approach, published the week of July 26 in the Proceedings of the National Academy of Sciences, projects that in the U.S. as many as 60% of COVID-19 cases went undetected as of March 7, 2021, the last date for which the dataset they employed is available.
July 26, 2021