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监禁式社区流行病学、结构性种族主义与 COVID-19 差异。

Carceral-community epidemiology, structural racism, and COVID-19 disparities.

机构信息

Data and Evidence for Justice Reform, World Bank, Washington, DC 20433;

Department of Anthropology, Harvard University, Cambridge, MA 02138.

出版信息

Proc Natl Acad Sci U S A. 2021 May 25;118(21). doi: 10.1073/pnas.2026577118.

Abstract

Black and Hispanic communities are disproportionately affected by both incarceration and COVID-19. The epidemiological relationship between carceral facilities and community health during the COVID-19 pandemic, however, remains largely unexamined. Using data from Cook County Jail, we examine temporal patterns in the relationship between jail cycling (i.e., arrest and processing of individuals through jails before release) and community cases of COVID-19 in Chicago ZIP codes. We use multivariate regression analyses and a machine-learning tool, elastic regression, with 1,706 demographic control variables. We find that for each arrested individual cycled through Cook County Jail in March 2020, five additional cases of COVID-19 in their ZIP code of residence are independently attributable to the jail as of August. A total 86% of this additional disease burden is borne by majority-Black and/or -Hispanic ZIPs, accounting for 17% of cumulative COVID-19 cases in these ZIPs, 6% in majority-White ZIPs, and 13% across all ZIPs. Jail cycling in March alone can independently account for 21% of racial COVID-19 disparities in Chicago as of August 2020. Relative to all demographic variables in our analysis, jail cycling is the strongest predictor of COVID-19 rates, considerably exceeding poverty, race, and population density, for example. Arrest and incarceration policies appear to be increasing COVID-19 incidence in communities. Our data suggest that jails function as infectious disease multipliers and epidemiological pumps that are especially affecting marginalized communities. Given disproportionate policing and incarceration of racialized residents nationally, the criminal punishment system may explain a large proportion of racial COVID-19 disparities noted across the United States.

摘要

黑人和西班牙裔社区受到监禁和 COVID-19 的不成比例影响。然而,在 COVID-19 大流行期间,惩教设施与社区健康之间的流行病学关系在很大程度上仍未得到检验。使用库克县监狱的数据,我们检查了在芝加哥邮政编码中,监狱循环(即逮捕和处理个人通过监狱然后释放)与社区 COVID-19 病例之间的时间模式。我们使用多元回归分析和机器学习工具弹性回归,使用 1706 个人口统计学控制变量。我们发现,在 2020 年 3 月每个通过库克县监狱循环的被捕个体中,他们居住的邮政编码中另外有 5 例 COVID-19 病例可归因于监狱。这一额外疾病负担的 86%由主要是黑人和/或西班牙裔的邮政编码承担,占这些邮政编码中 COVID-19 总病例的 17%,主要是白人邮政编码的 6%,以及所有邮政编码的 13%。仅 3 月份的监狱循环就可以独立解释截至 2020 年 8 月芝加哥种族 COVID-19 差异的 21%。相对于我们分析中的所有人口统计学变量,监狱循环是 COVID-19 发病率的最强预测因素,例如,大大超过贫困、种族和人口密度。逮捕和监禁政策似乎正在增加社区的 COVID-19 发病率。我们的数据表明,监狱充当传染病倍增器和流行病学泵,特别影响边缘化社区。鉴于全国范围内对种族化居民的不成比例的治安和监禁,刑事惩罚系统可能解释了美国各地注意到的大量种族 COVID-19 差异。

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