Reinforcement Learning-Based Control of Epidemics on Networks of Communities and Correctional Facilities.

ABSTRACT: BackgroundCorrectional facilities can act as amplifiers of infectious disease outbreaks. Small community outbreaks can cause larger prison outbreaks, which can in turn exacerbate the community outbreaks. However, strategies for epidemic control in communities and correctional facilities are generally not closely coordinated. We sought to evaluate different strategies for coordinated control.MethodsWe developed a stochastic simulation model of an epidemic spreading across a network of communities and correctional facilities. We parameterized it for the initial phases of the COVID-19 epidemic for 1) California communities and prisons based on community data from covidestim, prison data from the California Department of Corrections and Rehabilitation, and mobility data from SafeGraph, and 2)

SUBMITTER: Weyant C 

PROVIDER: S-EPMC12691623 | biostudies-literature | 2026 Feb

REPOSITORIES: biostudies-literature