期刊
WATER RESEARCH
卷 229, 期 -, 页码 -出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.watres.2022.119516
关键词
COVID-19; Wastewater surveillance; Sampling design; Community level; Hotspot; Adaptive sampling
Monitoring SARS-CoV-2 in wastewater is a valuable approach to track COVID-19 transmission. We developed a multi-level wastewater surveillance system using adaptive nested sampling strategy to track COVID-19 in Atlanta. The study demonstrates how a well-designed wastewater surveillance system provides actionable information, including early warning and identification of disease hotspots.
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.
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