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Wastewater Measures of SARS-CoV-2 Accurately Predict Frequency of Symptomatic Infections in the Community

Research output: Contribution to journal › Article › peer-review

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 languageEnglish (US)
Pages (from-to)e459-e465
JournalJournal of Infectious Diseases
Volume232
Issue number3
DOIs
StatePublished - 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)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 6 - Clean Water and Sanitation
    SDG 6 Clean Water and Sanitation
  3. SDG 11 - Sustainable Cities and Communities
    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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