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Prison Population Reductions and COVID-19: A Latent Profile Analysis Synthesizing Recent Evidence From the Texas State Prison System

People in prison are particularly vulnerable to infectious disease due to close living conditions and the lack of protective equipment. As a result, public health professionals and prison administrators seek information to guide best practices and policy recommendations during the COVID-19 pandemic....

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Autores principales: Vest, Noel, Johnson, Oshea, Nowotny, Kathryn, Brinkley-Rubinstein, Lauren
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7747775/
https://www.ncbi.nlm.nih.gov/pubmed/33337529
http://dx.doi.org/10.1007/s11524-020-00504-z
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author Vest, Noel
Johnson, Oshea
Nowotny, Kathryn
Brinkley-Rubinstein, Lauren
author_facet Vest, Noel
Johnson, Oshea
Nowotny, Kathryn
Brinkley-Rubinstein, Lauren
author_sort Vest, Noel
collection PubMed
description People in prison are particularly vulnerable to infectious disease due to close living conditions and the lack of protective equipment. As a result, public health professionals and prison administrators seek information to guide best practices and policy recommendations during the COVID-19 pandemic. Using latent profile analysis, we sought to characterize Texas prisons on levels of COVID-19 cases and deaths among incarcerated residents, and COVID-19 cases among prison staff. This observational study was a secondary data analysis of publicly available data from the Texas Department of Criminal Justice (TBDJ) collected from March 1, 2020, until July 24, 2020. This project was completed in collaboration with the COVID Prison Project. We identified relevant profiles from the data: a low-outbreak profile, a high-outbreak profile, and a high-death profile. Additionally, current prison population and level of employee staffing predicted membership in the high-outbreak and high-death profiles when compared with the low-outbreak profile. Housing persons at 85% of prison capacity was associated with lower risk of COVID-19 infection and death. Implementing this 85% standard as an absolute minimum should be prioritized at prisons across the USA. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11524-020-00504-z.
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spelling pubmed-77477752020-12-21 Prison Population Reductions and COVID-19: A Latent Profile Analysis Synthesizing Recent Evidence From the Texas State Prison System Vest, Noel Johnson, Oshea Nowotny, Kathryn Brinkley-Rubinstein, Lauren J Urban Health Brief Report People in prison are particularly vulnerable to infectious disease due to close living conditions and the lack of protective equipment. As a result, public health professionals and prison administrators seek information to guide best practices and policy recommendations during the COVID-19 pandemic. Using latent profile analysis, we sought to characterize Texas prisons on levels of COVID-19 cases and deaths among incarcerated residents, and COVID-19 cases among prison staff. This observational study was a secondary data analysis of publicly available data from the Texas Department of Criminal Justice (TBDJ) collected from March 1, 2020, until July 24, 2020. This project was completed in collaboration with the COVID Prison Project. We identified relevant profiles from the data: a low-outbreak profile, a high-outbreak profile, and a high-death profile. Additionally, current prison population and level of employee staffing predicted membership in the high-outbreak and high-death profiles when compared with the low-outbreak profile. Housing persons at 85% of prison capacity was associated with lower risk of COVID-19 infection and death. Implementing this 85% standard as an absolute minimum should be prioritized at prisons across the USA. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11524-020-00504-z. Springer US 2020-12-18 2021-02 /pmc/articles/PMC7747775/ /pubmed/33337529 http://dx.doi.org/10.1007/s11524-020-00504-z Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Brief Report
Vest, Noel
Johnson, Oshea
Nowotny, Kathryn
Brinkley-Rubinstein, Lauren
Prison Population Reductions and COVID-19: A Latent Profile Analysis Synthesizing Recent Evidence From the Texas State Prison System
title Prison Population Reductions and COVID-19: A Latent Profile Analysis Synthesizing Recent Evidence From the Texas State Prison System
title_full Prison Population Reductions and COVID-19: A Latent Profile Analysis Synthesizing Recent Evidence From the Texas State Prison System
title_fullStr Prison Population Reductions and COVID-19: A Latent Profile Analysis Synthesizing Recent Evidence From the Texas State Prison System
title_full_unstemmed Prison Population Reductions and COVID-19: A Latent Profile Analysis Synthesizing Recent Evidence From the Texas State Prison System
title_short Prison Population Reductions and COVID-19: A Latent Profile Analysis Synthesizing Recent Evidence From the Texas State Prison System
title_sort prison population reductions and covid-19: a latent profile analysis synthesizing recent evidence from the texas state prison system
topic Brief Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7747775/
https://www.ncbi.nlm.nih.gov/pubmed/33337529
http://dx.doi.org/10.1007/s11524-020-00504-z
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