Lessons learned from SARS-CoV-2 measurements in wastewater

• Published in: The Science of the total environment Vol. 798; p. 149177
• Main Authors: Sharkey, Mark E., Kumar, Naresh, Mantero, Alejandro M.A., Babler, Kristina M., Boone, Melinda M., Cardentey, Yoslayma, Cortizas, Elena M., Grills, George S., Herrin, James, Kemper, Jenny M., Kenney, Richard, Kobetz, Erin, Laine, Jennifer, Lamar, Walter E., Mader, Christopher C., Mason, Christopher E., Quintero, Anda Z., Reding, Brian D., Roca, Matthew A., Ryon, Krista, Solle, Natasha Schaefer, Schürer, Stephan C., Shukla, Bhavarth, Stevenson, Mario, Stone, Thomas, Tallon, John J., Venkatapuram, Sreeharsha S., Vidovic, Dusica, Williams, Sion L., Young, Benjamin, Solo-Gabriele, Helena M.
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 01-12-2021
• Subjects: Concentration; COVID-19; Detection; Humans; Pandemics; RNA, Viral; Sampling; SARS-CoV-2; Wastewater; Wastewater based surveillance; SARS-CoV-2; Concentration; Wastewater; Detection; Sampling; Wastewater based surveillance
• ISSN: 0048-9697; 1879-1026; 1879-1026
• DOI: 10.1016/j.scitotenv.2021.149177

Standardized protocols for wastewater-based surveillance (WBS) for the RNA of SARS-CoV-2, the virus responsible for the current COVID-19 pandemic, are being developed and refined worldwide for early detection of disease outbreaks. We report here on lessons learned from establishing a WBS program for SARS-CoV-2 integrated with a human surveillance program for COVID-19. We have established WBS at three campuses of a university, including student residential dormitories and a hospital that treats COVID-19 patients. Lessons learned from this WBS program address the variability of water quality, new detection technologies, the range of detectable viral loads in wastewater, and the predictive value of integrating environmental and human surveillance data. Data from our WBS program indicated that water quality was statistically different between sewer sampling sites, with more variability observed in wastewater coming from individual buildings compared to clusters of buildings. A new detection technology was developed based upon the use of a novel polymerase called V2G. Detectable levels of SARS-CoV-2 in wastewater varied from 102 to 106 genomic copies (gc) per liter of raw wastewater (L). Integration of environmental and human surveillance data indicate that WBS detection of 100 gc/L of SARS-CoV-2 RNA in wastewater was associated with a positivity rate of 4% as detected by human surveillance in the wastewater catchment area, though confidence intervals were wide (β ~ 8.99 ∗ ln(100); 95% CI = 0.90–17.08; p < 0.05). Our data also suggest that early detection of COVID-19 surges based on correlations between viral load in wastewater and human disease incidence could benefit by increasing the wastewater sample collection frequency from weekly to daily. Coupling simpler and faster detection technology with more frequent sampling has the potential to improve the predictive potential of using WBS of SARS-CoV-2 for early detection of the onset of COVID-19.
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•Lessons learned from wastewater surveillance for SARS-CoV-2 are reported.•A new innovative detection method, V2G-qPCR, was evaluated.•100 gc/L of SARS-CoV-2 in wastewater associate with a 4% positivity rate•SARS-CoV-2 in wastewater was a 4-day lead indicator.•More frequent sampling is recommended for model development.