Disease-dependent interaction policies to support health and economic outcomes during the COVID-19 epidemic.

ABSTRACT: Lockdowns and stay-at-home orders have partially mitigated the spread of Covid-19. However, en masse mitigation has come with substantial socioeconomic costs. In this paper, we demonstrate how individualized policies based on disease status can reduce transmission risk while minimizing impacts on economic outcomes. We design feedback control policies informed by optimal control solutions to modulate interaction rates of individuals based on the epidemic state. We identify personalized interaction rates such that recovered/immune individuals elevate their interactions and susceptible individuals remain at home before returning to pre-lockdown levels. As we show, feedback control policies can yield similar population-wide infection rates to total shutdown but with significantly lower

SUBMITTER: Li G 

PROVIDER: S-EPMC8189742 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature