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建立全州范围的污水监测系统以应对 COVID-19 大流行:持续和新出现的公共卫生威胁的可靠模型。

Establishing a Statewide Wastewater Surveillance System in Response to the COVID-19 Pandemic: A Reliable Model for Continuous and Emerging Public Health Threats.

机构信息

Department of Public Health at Syracuse University, Syracuse, New York (Ms Neyra and Drs Hill and Larsen); School of Information Studies at Syracuse University, Syracuse, New York (Mr Dunham); New York State Department of Health, Albany, New York (Ms Bennett); and CDC Foundation, Atlanta, Georgia (Ms Bennett).

出版信息

J Public Health Manag Pract. 2023;29(6):854-862. doi: 10.1097/PHH.0000000000001797. Epub 2023 Aug 1.

DOI:10.1097/PHH.0000000000001797
PMID:37566797
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10549888/
Abstract

CONTEXT

The COVID-19 pandemic sparked efforts across the globe to implement wastewater surveillance for SARS-CoV-2.

PROGRAM

New York State (NYS) established the NYS Wastewater Surveillance Network to estimate the levels of COVID-19 community risk and to provide an early indication of SARS-CoV-2 transmission trends. The network is designed to provide a better understanding of public health burdens and to assist health departments to respond effectively to public health threats.

IMPLEMENTATION

Wastewater surveillance across NYS increased from sporadic and geographically spare in 2020 to routine and widespread in 2022, reaching all 62 counties in the state and covering 74% of New Yorkers. The network team focused on engaging local health departments and wastewater treatment plants to provide wastewater samples, which are then analyzed through a network-affiliated laboratory. Both participating local health departments and wastewater treatment plants receive weekly memos on current SARS-CoV-2 trends and levels. The data are also made publicly available at the state dashboard.

EVALUATION

Using standard indicators to evaluate infectious disease surveillance systems, the NYS Wastewater Surveillance Network was assessed for accuracy, timeliness, and completeness during the first year of operations. We observed 96.5% sensitivity of wastewater to identify substantial/high COVID-19 transmission and 99% specificity to identify low COVID-19 transmission. In total, 80% of results were reported within 1 day of sample collection and were published on the public dashboard within 2 days of sample collection. Among participating wastewater treatment plants, 32.5% provided weekly samples with zero missing data, 31% missed 1 or 2 weeks, and 36.5% missed 3 or more weeks.

DISCUSSION

The NYS Wastewater Surveillance Network continues to be a key component of the state and local health departments' pandemic response. The network fosters prompt public health actions through real-time data, enhancing the preparedness capability for both existing and emerging public health threats.

摘要

背景

COVID-19 大流行促使全球各国努力开展 SARS-CoV-2 污水监测。

项目

纽约州(NYS)建立了 NYS 污水监测网络,以估计 COVID-19 社区风险水平,并提供 SARS-CoV-2 传播趋势的早期指示。该网络旨在更好地了解公共卫生负担,并协助卫生部门有效应对公共卫生威胁。

实施

2020 年,NYS 的污水监测从零星的、地理上分散的监测增加到 2022 年的常规和广泛的监测,覆盖全州所有 62 个县,覆盖 74%的纽约人。该网络团队专注于与当地卫生部门和污水处理厂合作,提供污水样本,然后通过网络附属实验室进行分析。参与的当地卫生部门和污水处理厂每周都会收到关于当前 SARS-CoV-2 趋势和水平的备忘录。这些数据也在州仪表板上公开提供。

评估

使用标准指标评估传染病监测系统,评估了 NYS 污水监测网络在运营第一年的准确性、及时性和完整性。我们观察到污水识别大量/高 COVID-19 传播的敏感性为 96.5%,识别低 COVID-19 传播的特异性为 99%。总共,80%的结果在样本采集后 1 天内报告,并在样本采集后 2 天内在公共仪表板上发布。在参与的污水处理厂中,32.5%的污水处理厂每周提供样本,没有数据缺失,31%的污水处理厂每周缺失 1 或 2 周,36.5%的污水处理厂每周缺失 3 周或更多周。

讨论

NYS 污水监测网络继续成为州和地方卫生部门大流行应对的关键组成部分。该网络通过实时数据促进及时的公共卫生行动,增强了对现有和新出现的公共卫生威胁的准备能力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b1b/10549888/27e9ed7dbf63/jpump-29-0854-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b1b/10549888/9735f0ee0686/jpump-29-0854-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b1b/10549888/7e81d96100b4/jpump-29-0854-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b1b/10549888/27e9ed7dbf63/jpump-29-0854-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b1b/10549888/9735f0ee0686/jpump-29-0854-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b1b/10549888/7e81d96100b4/jpump-29-0854-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b1b/10549888/27e9ed7dbf63/jpump-29-0854-g003.jpg

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