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监狱人口减少与 COVID-19:一项整合来自德克萨斯州监狱系统最新证据的潜在剖面分析。

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

机构信息

Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Palo Alto, CA, 94304, USA.

Department of Sociology, University of Miami, Coral Gables, FL, USA.

出版信息

J Urban Health. 2021 Feb;98(1):53-58. doi: 10.1007/s11524-020-00504-z. Epub 2020 Dec 18.

Abstract

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.

摘要

由于生活条件密切和缺乏防护设备,监狱中的人特别容易感染传染病。因此,公共卫生专业人员和监狱管理人员寻求信息,以指导在 COVID-19 大流行期间的最佳实践和政策建议。我们使用潜在剖面分析,试图描述德克萨斯州监狱中被监禁居民的 COVID-19 病例和死亡人数以及监狱工作人员的 COVID-19 病例的水平。这项观察性研究是对德克萨斯州刑事司法部(TBDJ)从 2020 年 3 月 1 日至 2020 年 7 月 24 日收集的公开数据进行的二次数据分析。该项目是与 COVID 监狱项目合作完成的。我们从数据中确定了相关的特征:低爆发特征、高爆发特征和高死亡特征。此外,与低爆发特征相比,当前的监狱人口和员工配置水平预测了在高爆发和高死亡特征中的成员身份。将人员安置在监狱容量的 85%可降低 COVID-19 感染和死亡的风险。在美国各地的监狱中,应优先实施这一 85%的标准作为绝对最低标准。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ccb9/7873163/7e0912efb5b7/11524_2020_504_Fig1_HTML.jpg

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