作为疫情预测工具的占用大学宿舍的SARS-CoV-2的建筑级废水监测:一年的案例研究
Shireen M Kotay1, Kawai O Tanabe2, Lisa M Colosi3
1Division of Infectious Diseases, School of Medicine, University of Virginia Health System, Charlottesville, Virginia 22908, United States.
ACS ES&T water
|August 8, 2023
概括
建筑层次的废水监测有效地检测到大学宿舍中的SARS-CoV-2,作为早期预警系统. 这种方法,结合居住者测试,有助于减轻聚集生活环境中的疫情.
科学领域:
- 环境科学 环境科学
- 公共卫生 公共卫生
- 流行病学 流行病学
背景情况:
- 集体生活环境,如大学宿舍,是呼吸道病毒传播的高风险环境,包括SARS-CoV-2.
- 有效的监测对于管理这些环境中的疫情至关重要.
研究的目的:
- 评估建筑层面的SARS-CoV-2废水监测作为提前预警系统的实用性,以促使居住者进行测试.
- 通过在宿舍环境中对临床试验数据验证废水检测模型.
主要方法:
- 每日复合废水样本测试与宿舍居民的临床测试协调.
- 废水检测模式与乘客测试数据一起分析,以验证监控模型.
- 评估了废水监测的预测能力,考虑了康复期流产等因素.
主要成果:
- 废水阳性趋势通常与临床阳性和居住者流行病学保持一致.
- 从恢复过来的个人返回大楼的康复流出影响了废水监测对新病例的预测准确性.
- 楼层废水监测在预测低流行社区环境中的新病例方面表现出更高的生产力.
结论:
- 每日建筑层次的废水监测,与定期的居住者测试相结合,是减轻大学校园中SARS-CoV-2疫情的有效策略.
- 一个强大的基于监控的决策系统对于在流行病期间维持高等教育设施的运营至关重要.
- 废水监测显示,它是一个有价值的工具,可以在聚集的生活环境中早期发现疫情.
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