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Charles R Doss, Mark J Osborn, Stacey Stark, Joshua Rhein, Jacalynn Donkersgoed, Donna Budde, Shannon Champeau, Carolyn Meyer, Mason Hayden, Laura Landini, Difan Ouyang, Lappui Chung, Yi Tang, Sara Vetter, Timothy W Schacker, Wastewater Measures of SARS-CoV-2 Accurately Predict Frequency of Symptomatic Infections in the Community, The Journal of Infectious Diseases, 2025;, jiaf242, https://doi.org/10.1093/infdis/jiaf242
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Abstract
Widespread immunity through vaccination or natural infection has altered the predictive ability of wastewater for hospitalization and mortality.
Between January 2022 and August 2024, we conducted a longitudinal observational study aimed to examine the correlation between symptomatic COVID-19 in healthcare employees and the SARS-CoV-2 wastewater community levels. Wastewater was analyzed by quantitative RT-PCR for detection of SARS-CoV-2. The employee occupational health office for Fairview Health provided deidentified data.
We collected 215 wastewater samples from the TCWWTP over a 32-month interval. Over that period, there were 6,879 positive SARS-CoV-2 test results reported to Fairview Employee Health from individuals who lived in the wastewater catchment area. We found that SARS-CoV-2 levels in wastewater accurately predicted the subsequent COVID-19 case count the following week in the community (p = 0.001).
These data demonstrate the utility of SARS-CoV-2 wastewater surveillance as it accurately predicts the frequency of symptomatic infection in the community.
Author notes
Drs. Doss and Osborn contributed equally to the project