In this paper, we propose a complementary approach that combines estimated (1) infection fatality rates (IFR) using a Bayesian melding SEIR model with (2) reported case-fatality rates (CFR) in order to indirectly estimate the fraction of people ever infected (from the total population) and detected (from the ever infected). Our approach can be a valuable tool that complements seroprevalence studies and indicates how efficient have testing policies been since the beginning of the outbreak. NOTE:  Although the paper published focuses on the US, the model can be used for any country and hence we have also applied it to Austria.

Sánchez-Romero M, di Lego V, Prskawetz A, L. Queiroz B (2021) An indirect method to monitor the fraction of people ever infected with COVID-19: An application to the United States. PLoS ONE 16(1): e0245845. https://doi.org/10.1371/journal.pone.0245845