The COVID-19 pandemic has posed a policy making crisis where efforts to slow down or end the pandemic conflict with economic priorities. This paper provides mathematical analysis of optimal disease control policies with idealized compartmental models for disease propagation and simplistic models of social and economic costs. Two locally optimal control strategies are found and categorized as `suppression' and `mitigation' strategies. We analyze how these strategies change when we incorporate vaccination into the model and find a new optimal `delay-mitigation' strategy.
@article{arxiv.2007.13811,
title = {Optimal control of COVID-19 infection rate considering social costs},
author = {Aaron Z. Palmer and Zelda B. Zabinsky and Shan Liu},
journal= {arXiv preprint arXiv:2007.13811},
year = {2021}
}