Abstract
Background. Widespread immunity through vaccination or natural infection has altered the predictive ability of wastewater for hospitalization and mortality. Methods. Between January 2022 and August 2024, we conducted a longitudinal observational study that aimed to examine the correlation between symptomatic COVID-19 in health care employees and SARS-CoV-2 wastewater community levels. Wastewater was analyzed by quantitative reverse transcription polymerase chain reaction for detection of SARS-CoV-2. The Fairview Employee Occupational Health office provided deidentified data. Results. We collected 215 wastewater samples from the Twin Cities Wastewater Treatment Plant over a 32-month interval. Over that period, there were 6879 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 = .001). Conclusions. These data demonstrate the utility of SARS-CoV-2 wastewater surveillance as it accurately predicts the frequency of symptomatic infection in the community.
| Original language | English (US) |
|---|---|
| Pages (from-to) | e459-e465 |
| Journal | Journal of Infectious Diseases |
| Volume | 232 |
| Issue number | 3 |
| DOIs | |
| State | Published - Sep 15 2025 |
Bibliographical note
Publisher Copyright:© The Author(s) 2025. Published by Oxford University Press on behalf of Infectious Diseases Society of America.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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SDG 6 Clean Water and Sanitation
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SDG 11 Sustainable Cities and Communities
Keywords
- COVID-19
- SARS-CoV-2
- polymerase chain reaction
- predictive model
- wastewater
PubMed: MeSH publication types
- Journal Article
- Observational Study
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