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意大利监狱中的生物风险:COVID-19 大流行第二波至第四波的数据分析

Biological risk in Italian prisons: data analysis from the second to the fourth wave of COVID-19 pandemic.

作者信息

Franchi Cristiano, Rossi Riccardo, Malizia Andrea, Gaudio Pasqualino, Di Giovanni Daniele

机构信息

Industrial Engineering, University of Rome Tor Vergata Engineering Macro Area, Roma, Italy

Industrial Engineering, University of Rome Tor Vergata Engineering Macro Area, Roma, Italy.

出版信息

Occup Environ Med. 2023 May;80(5):273-279. doi: 10.1136/oemed-2022-108599. Epub 2023 Mar 16.

Abstract

BACKGROUND

The management of COVID-19 in Italian prisons triggered considerable concern at the beginning of the pandemic due to numerous riots which resulted in inmate deaths, damages and prison breaks. The aim of this study is to shed some light, through analysis of the infection and relevant disease parameters, on the period spanning from the second to the fourth wave of the outbreak in Italy's prisons.

METHODS

Reproductive number (Rt) and Hospitalisation were calculated through a Eulerian approach applied to differential equations derived from compartmental models. Comparison between trends was performed through paired t-test and linear regression analyses.

RESULTS

The infection trends (prevalence and Rt) show a high correlation between the prison population and the external community. Both the indices appear to be lagging 1 week in prison. The prisoners' Rt values are not statistically different from those of the general population. The hospitalisation trend of inmates strongly correlates with the external population's, with a delay of 2 weeks. The magnitude of hospitalisations in prison is less than in the external community for the period analysed.

CONCLUSIONS

The comparison with the external community revealed that in prison the infection prevalence was greater, although Rt values showed no significant difference, and the hospitalisation rate was lower. These results suggest that the consistent monitoring of inmates results in a higher infection prevalence while a wide vaccination campaign leads to a lower hospitalisation rate. All three indices demonstrate a lag of 1 or 2 weeks in prison. This delay could represent a useful time-window to strengthen planned countermeasures.

摘要

背景

在疫情初期,意大利监狱中新冠疫情的管理引发了广泛关注,因为发生了多起骚乱,导致囚犯死亡、设施损坏和越狱事件。本研究的目的是通过分析感染及相关疾病参数,来揭示意大利监狱从疫情爆发的第二波到第四波期间的情况。

方法

通过应用于源自 compartmental 模型的微分方程的欧拉方法计算繁殖数(Rt)和住院率。通过配对 t 检验和线性回归分析对趋势进行比较。

结果

感染趋势(患病率和 Rt)显示监狱人口与外部社区之间存在高度相关性。这两个指标在监狱中似乎都滞后 1 周。囚犯的 Rt 值与普通人群的 Rt 值在统计学上没有差异。囚犯的住院趋势与外部人群的住院趋势密切相关,延迟 2 周。在所分析的时间段内,监狱中的住院人数规模低于外部社区。

结论

与外部社区的比较表明,在监狱中感染患病率更高,尽管 Rt 值没有显著差异,且住院率更低。这些结果表明,对囚犯的持续监测导致感染患病率更高,而广泛的疫苗接种运动导致住院率更低。所有这三个指标在监狱中都显示出 1 至 2 周的滞后。这一延迟可能是加强计划中的应对措施的有用时间窗口。

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