Group Testing Against Covid-19

In this paper, Christian Gollier (EconPol Europe, Toulouse School of Economics University of Toulouse- Capitole) and Olivier Gossner (CNRS – CREST, Ecole Polytechnique, London School of Economics) show how group testing can be optimized in three applications to multiply the efficiency of tests against Covid-19: Estimating virus prevalence to measure the evolution of the pandemic; bringing negative groups back to work to exit the current lockdown; and testing for individual infectious status to treat sick people.