Department of Biomedical Data Science, Stanford University, Stanford, CA, USA.
Stanford Health Policy and the Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
J Gen Intern Med. 2021 Oct;36(10):3096-3102. doi: 10.1007/s11606-021-07022-x. Epub 2021 Jul 21.
Correctional institutions nationwide are seeking to mitigate COVID-19-related risks.
To quantify changes to California's prison population since the pandemic began and identify risk factors for COVID-19 infection.
For California state prisons (March 1-October 10, 2020), we described residents' demographic characteristics, health status, COVID-19 risk scores, room occupancy, and labor participation. We used Cox proportional hazard models to estimate the association between rates of COVID-19 infection and room occupancy and out-of-room labor, respectively.
Residents of California state prisons.
Changes in the incarcerated population's size, composition, housing, and activities. For the risk factor analysis, the exposure variables were room type (cells vs. dormitories) and labor participation (any room occupant participating in the prior 2 weeks) and the outcome variable was incident COVID-19 case rates.
The incarcerated population decreased 19.1% (119,401 to 96,623) during the study period. On October 10, 2020, 11.5% of residents were aged ≥60, 18.3% had high COVID-19 risk scores, 31.0% participated in out-of-room labor, and 14.8% lived in rooms with ≥10 occupants. Nearly 40% of residents with high COVID-19 risk scores lived in dormitories. In 9 prisons with major outbreaks (6,928 rooms; 21,750 residents), dormitory residents had higher infection rates than cell residents (adjusted hazard ratio [AHR], 2.51 95% CI, 2.25-2.80) and residents of rooms with labor participation had higher rates than residents of other rooms (AHR, 1.56; 95% CI, 1.39-1.74).
Despite reductions in room occupancy and mixing, California prisons still house many medically vulnerable residents in risky settings. Reducing risks further requires a combination of strategies, including rehousing, decarceration, and vaccination.
全美惩教机构都在设法降低与新冠疫情相关的风险。
量化自疫情爆发以来加利福尼亚州监狱人口的变化,并确定新冠感染的风险因素。
对于加利福尼亚州立监狱(2020 年 3 月 1 日至 10 月 10 日),我们描述了居民的人口统计学特征、健康状况、新冠风险评分、房间入住率和劳动参与情况。我们使用 Cox 比例风险模型分别估计了新冠感染率与房间入住率和非室内劳动之间的关联。
加利福尼亚州立监狱的囚犯。
被监禁人口的规模、构成、住房和活动的变化。在风险因素分析中,暴露变量为房间类型(牢房与宿舍)和劳动参与(前 2 周内任何居住在房间内的人员),结果变量为新冠确诊病例率。
在研究期间,被监禁人口减少了 19.1%(119401 人减至 96623 人)。2020 年 10 月 10 日,11.5%的囚犯年龄≥60 岁,18.3%的囚犯新冠风险评分较高,31.0%的囚犯参与了非室内劳动,14.8%的囚犯居住在 10 人以上的房间内。近 40%的高新冠风险评分的囚犯居住在宿舍。在 9 所出现重大疫情的监狱(6928 间牢房;21750 名囚犯)中,宿舍居住者的感染率高于牢房居住者(调整后的危险比[AHR],2.51;95%CI,2.25-2.80),参与劳动的房间居住者的感染率高于其他房间的居住者(AHR,1.56;95%CI,1.39-1.74)。
尽管降低了房间入住率和混合程度,加利福尼亚州监狱仍将许多医学上易受感染的囚犯关押在危险环境中。进一步降低风险需要结合多种策略,包括重新安置、减少囚犯人数和接种疫苗。