Predicting COVID-19 Outbreaks in Correctional Facilities Using Machine Learning.

ABSTRACT: Introduction. The risk of infectious disease transmission, including COVID-19, is disproportionately high in correctional facilities due to close living conditions, relatively low levels of vaccination, and reduced access to testing and treatment. While much progress has been made on describing and mitigating COVID-19 and other infectious disease risk in jails and prisons, there are open questions about which data can best predict future outbreaks. Methods. We used facility data and demographic and health data collected from 24 prison facilities in the Pennsylvania Department of Corrections from March 2020 to May 2021 to determine which sources of data best predict a coming COVID-19 outbreak in a prison facility. We used machine learning methods to cluster the prisons into gr

SUBMITTER: Malloy GSP 

PROVIDER: S-EPMC10826393 | biostudies-literature | 2024 Jan-Jun

REPOSITORIES: biostudies-literature