Targeted adaptive isolation strategy for COVID-19 pandemic

Zoltan Neufeld; Hamid Khataee; Andras Czirok

doi:10.1016/j.idm.2020.04.003

Targeted adaptive isolation strategy for COVID-19 pandemic

Infect Dis Model. 2020 Jun 5:5:357-361. doi: 10.1016/j.idm.2020.04.003. eCollection 2020.

Authors

Zoltan Neufeld¹, Hamid Khataee¹, Andras Czirok^{2

3}

Affiliations

¹ School of Mathematics and Physics, The University of Queensland, St. Lucia, Brisbane, QLD, 4072, Australia.
² Department of Biological Physics, Eotvos University, Budapest, 1053, Hungary.
³ Department of Anatomy and Cell Biology, University of Kansas Medical Center, Kansas City, KS, 66160, USA.

Abstract

We investigate the effects of social distancing in controlling the impact of the COVID-19 epidemic using a simple susceptible-infected-removed epidemic model. We show that an alternative or complementary approach based on targeted isolation of the vulnerable sub-population may provide a more efficient and robust strategy at a lower economic and social cost within a shorter timeframe resulting in a collectively immune population.

Keywords: Control strategies; Covid-19; sir model.