Quantifying the benefits of targeting for pandemic response
Sergio Camelo1, Florin Ciocan2, Dan Iancu1,2, Xavier Warnes1, Spyros Zoumpoulis2
1Stanford University, USA; 2INSEAD, France
Discussant: Elodie Adida (University of California at Riverside)
We propose and implement a rigorous framework and algorithms to quantify the merits of targeted confinement interventions for pandemic response, and demonstrate them in a case study of COVID-19 in Île-de-France. We find that optimized interventions that differentiate based on both population groups and activities are interpretable, and achieve significantly better health and economic outcomes, while also reducing confinement time for each group, compared to less targeted interventions.