Objectives. To describe 4 unique models of operationalizing wastewater-based surveillance (WBS) for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in jails of graduated sizes and different architectural designs. Methods. We summarize how jails of Cook County, Illinois (average daily population [ADP] 6000); Fulton County, Georgia (ADP 3000); Middlesex County, Massachusetts (ADP 875); and Washington, DC (ADP 1600) initiated WBS between 2020 and 2023. Results. Positive signals for SARS-CoV-2 via WBS can herald a new onset of infections in previously uninfected jail housing units. Challenges implementing WBS included political will and realized value, funding, understanding the building architecture, and the need for details in the findings. Conclusions. WBS has been effective for detecting outbreaks of SARS-CoV-2 in different sized jails, those with both dorm- and cell-based architectural design. Public Health Implications. Given its effectiveness in monitoring SARS-CoV-2, WBS provides a model for population-based surveillance in carceral facilities for future infectious disease outbreaks. (Am J Public Health. 2024;114(11):1232-1241. https://doi.org/10.2105/AJPH.2024.307785).

中文翻译：

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四种基于废水的 SARS-CoV-2 监测模型补充了监狱环境中的个体筛查。


目标。描述在大小分级和不同建筑设计的监狱中实施严重急性呼吸系统综合症冠状病毒 2 （SARS-CoV-2） 基于废水的监测 （WBS） 的 4 种独特模型。方法。我们总结了伊利诺伊州库克县的监狱（平均每日人口 [ADP] 6000）;佐治亚州富尔顿县 （ADP 3000）;马萨诸塞州米德尔塞克斯县 （ADP 875）;华盛顿特区 （ADP 1600） 在 2020 年至 2023 年期间启动了 WBS。结果。通过 WBS 发出的 SARS-CoV-2 阳性信号可能预示着以前未感染的监狱住房单元将发生新的感染。实施 WBS 的挑战包括政治意愿和实现价值、资金、了解建筑架构以及调查结果中对细节的需求。结论。WBS 可有效检测不同规模监狱中 SARS-CoV-2 的爆发，这些监狱采用基于宿舍和牢房的建筑设计。公共卫生影响。鉴于 WBS 在监测 SARS-CoV-2 方面的有效性，它为在监狱设施中针对未来传染病爆发的基于人群的监测提供了一个模型。（美国公共卫生杂志，2024 年;114(11):1232-1241.https://doi.org/10.2105/AJPH.2024.307785）。