Multiscale heterogeneous optimal lockdown control for COVID-19 using geographic information.

ABSTRACT: We study the problem of synthesizing lockdown policies-schedules of maximum capacities for different types of activity sites-to minimize the number of deceased individuals due to a pandemic within a given metropolitan statistical area (MSA) while controlling the severity of the imposed lockdown. To synthesize and evaluate lockdown policies, we develop a multiscale susceptible, infected, recovered, and deceased model that partitions a given MSA into geographic subregions, and that incorporates data on the behaviors of the populations of these subregions. This modeling approach allows for the analysis of heterogeneous lockdown policies that vary across the different types of activity sites within each subregion of the MSA. We formulate the synthesis of optimal lockdown policies as a nonconve

SUBMITTER: Neary C 

PROVIDER: S-EPMC8913668 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature