“…The limited work that has been done on this topic has emerged recently, with some efforts focusing on using pooled testing as a simple means to stretch limited testing capacity as far as possible (Aragón-Caqueo et al, 2020; de Wolff et al, 2020; Ghosh et al, 2020; Gollier and Gossner, 2020; Jonnerby et al, 2020), while others consider stratified testing strategies focused on high risk groups such as health care workers (Cleevely et al, 2020; Grassly et al, 2020). Mathematical optimization has been applied to the economics of lockdown and quarantine policies (Aldila et al, 2020; Alvarez et al, 2020; Choi and Shim, 2021; Jones et al, 2020; Khatua et al, 2020; Piguillem and Shi, 2020), and to parameter estimation using testing data (Chatzimanolakis et al, 2020), but has not yet been applied comprehensively to resource allocation problems under testing constraints. Faced with insufficient testing capacity, public health agencies advise the prioritization of testing effort via qualitative considerations (Centers for Disease Control and Prevention, 2020).…”