Handling Selective and Imperfect Testing in Design and Inference of COVID-19 Studies

A team of researchers is developing mathematical models to predict the true infection rate and detect spikes, taking into account the limited and imperfect testing.  Their model will also provide guidance to policymakers on how to allocate testing resources. Funded by the Michigan Institute for Data Science (MIDAS)