When case reporting becomes untenable: Can sewer networks tell us where COVID-19 transmission occurs?

被引：7

作者：

Wang, Yuke ^{[1
]}

Liu, Pengbo ^{[1
]}

VanTassell, Jamie ^{[1
]}

Hilton, Stephen P. ^{[1
]}

Guo, Lizheng ^{[1
]}

Sablon, Orlando ^{[1
]}

Wolfe, Marlene ^{[1
]}

Freeman, Lorenzo ^{[2
]}

Rose, Wayne ^{[2
]}

Holt, Carl ^{[2
]}

Browning, Mikita ^{[2
]}

Bryan, Michael ^{[3
]}

Waller, Lance ^{[4
]}

Teunis, Peter F. M. ^{[1
]}

Moe, Christine L. ^{[1
]}

机构：

[1] Emory Univ, Ctr Global Safe Water Sanitat & Hyg, Rollins Sch Publ Hlth, Hubert Dept Global Hlth, 1518 Clifton Rd NE,CNR6040B, Atlanta, GA 30322 USA

[2] City Atlanta Dept Watershed Management, Atlanta, GA 30303 USA

[3] Georgia Dept Publ Hlth, Atlanta, GA 30303 USA

[4] Emory Univ, Rollins Sch Publ Hlth, Dept Biostat & Bioinformat, Atlanta, GA 30322 USA

来源：

WATER RESEARCH | 2023年 / 229卷

基金：

美国国家卫生研究院;

关键词：

COVID-19; Wastewater surveillance; Sampling design; Community level; Hotspot; Adaptive sampling; SURVEILLANCE;

D O I：

10.1016/j.watres.2022.119516

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Monitoring SARS-CoV-2 in wastewater is a valuable approach to track COVID-19 transmission. Designing wastewater surveillance (WWS) with representative sampling sites and quantifiable results requires knowledge of the sewerage system and virus fate and transport. We developed a multi-level WWS system to track COVID-19 in Atlanta using an adaptive nested sampling strategy. From March 2021 to April 2022, 868 wastewater samples were collected from influent lines to wastewater treatment facilities and upstream community manholes. Variations in SARS-CoV-2 concentrations in influent line samples preceded similar variations in numbers of reported COVID-19 cases in the corresponding catchment areas. Community sites under nested sampling represented mutually-exclusive catchment areas. Community sites with high SARS-CoV-2 detection rates in wastewater covered high COVID-19 incidence areas, and adaptive sampling enabled identification and tracing of COVID-19 hotspots. This study demonstrates how a well-designed WWS provides actionable information including early warning of surges in cases and identification of disease hotspots.

引用

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