Rapid implementation of high-frequency wastewater surveillance of SARS-CoV-2
There have been over 507 million cases of COVID-19, the disease caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), resulting in 6 million deaths globally. Wastewater surveillance has emerged as a valuable tool in understanding SARS-CoV-2 burden in communities. The National Wastewater Surveillance System (NWSS) partnered with the United States Geological Survey (USGS) to implement a high-frequency sampling program. This report describes basic surveillance and sampling statistics as well as a comparison of SARS-CoV-2 trends between high-frequency sampling 3–5 times per week, referred to as USGS samples, and routine sampling 1–2 times per week, referred to as NWSS samples. USGS samples provided a more nuanced impression of the changes in wastewater trends, which could be important in emergency response situations. Despite the rapid implementation time frame, USGS samples had similar data quality and testing turnaround times as NWSS samples. Ensuring there is a reliable sample collection and testing plan before an emergency arises will aid in the rapid implementation of a high-frequency sampling approach. High-frequency sampling requires a constant flow of information and supplies throughout sample collection, testing, analysis, and data sharing. High-frequency sampling may be a useful approach for increased resolution of disease trends in emergency response.
Citation Information
Publication Year | 2022 |
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Title | Rapid implementation of high-frequency wastewater surveillance of SARS-CoV-2 |
DOI | 10.1021/acsestwater.2c00094 |
Authors | Meghan M. Holst, John Person, Wiley Jennings, Rory M. Welsh, Michael J. Focazio, Paul M. Bradley, W. Bane Schill, Amy E. Kirby, Zachary A. Marsh |
Publication Type | Article |
Publication Subtype | Journal Article |
Series Title | ES&T: Water |
Index ID | 70232548 |
Record Source | USGS Publications Warehouse |
USGS Organization | Leetown Science Center; South Atlantic Water Science Center |