在长期护理设施中对SARS-CoV-2的废水监测:混合方法评估
James W Keck1, Jess Lindner2, Matthew Liversedge3
1Department of Family & Community Medicine, University of Kentucky, Lexington, KY, United States.
JMIR public health and surveillance
|August 29, 2023
概括
肯塔基州长期护理设施 (LTCF) 的废水监测显示,在早期检测COVID-19方面表现不一. 虽然可行,但数据解释和及时性方面的挑战需要关注弱势群体.
科学领域:
- 公共卫生监督 公共卫生监督
- 环境病毒学环境病毒学
- 传染病流行病学 传染病流行病学
背景情况:
- 废水监测为社区提供了早期COVID-19检测.
- 长期护理设施 (LTCF) 面临着高的COVID-19发病率和死亡率.
- 在肯塔基州的6个LTCF中实施了楼层废水监测,以预警.
研究的目的:
- 评估肯塔基州LTCF的SARS-CoV-2废水监测的表现.
- 评估系统属性,包括简单性,灵活性,数据质量,敏感性,PPV,及时性,代表性和稳定性.
主要方法:
- 混合方法评估遵循了CDC对公共卫生监测系统的指导方针.
- 对利益相关者进行了半结构化的采访,并进行了主题内容分析.
- 废水,临床测试和工艺数据被整合在一起,以评估性能属性.
主要成果:
- 废水监测需要适度的资源和技术能力.
- 该系统在调整频率和检测其他病原体方面表现出灵活性.
- 使用临床测试作为黄金标准,灵敏度为30.6%,特异性为79.7%;PPV在>0副本/毫升时为34.8%.
- 在元数据 (3.53%) 和PCR (1.81%) 中发现了数据质量问题.
- 由于缺乏周末实验室人员,及时性受到影响,数据在收集后24-72小时内收到.
- 代表性挑战包括外部废物来源和居民因素.
- 稳定性成本大约为每家设施每天144.50美元.
结论:
- 根据CDC的标准,LTCF废水监测系统的表现不一.
- 利益相关者认为监控是可行的,但在数据解释和可操作性方面存在挑战.
- 人们对其在保护弱势LTCF群体方面的潜力持乐观态度.
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