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

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

  • By

  • 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

  • July 24, 2025

  • 0 min

Share

SARS-CoV-2 Wastewater Levels Predict Symptomatic COVID-19 Incidence

Overview

A 32-month longitudinal study demonstrated that SARS-CoV-2 RNA levels in community wastewater strongly predict the number of symptomatic COVID-19 cases among healthcare employees living in the catchment area. Wastewater surveillance remains a valuable tool for forecasting community infection trends despite changes in hospitalization patterns due to widespread immunity.

Background

Wastewater monitoring has long been used for tracking infectious diseases such as polio and has been adapted during the COVID-19 pandemic to detect SARS-CoV-2 levels in communities. Early in the pandemic, wastewater viral loads predicted surges in hospitalizations. However, with increased immunity from vaccination and natural infection, the correlation between wastewater levels and hospitalizations has weakened. Monitoring symptomatic infections remains important for public health planning and workforce management, especially in healthcare settings.

Data Highlights

ParameterValue
Study durationJanuary 2022 – August 2024 (32 months)
Wastewater samples collected215
Positive SARS-CoV-2 tests in employees (catchment area)6,879
Correlation significance (wastewater vs. cases)P = .001

Key Findings

  • SARS-CoV-2 RNA levels in wastewater accurately predicted symptomatic COVID-19 case counts in the community one week later.
  • 6879 positive COVID-19 cases among healthcare employees living in the wastewater catchment area were analyzed.
  • Wastewater surveillance provides a non-invasive, community-level indicator of symptomatic infection trends.
  • Despite reduced predictive power for hospitalizations due to immunity, wastewater levels remain a reliable predictor of symptomatic cases.
  • Testing was performed using quantitative reverse transcription PCR targeting the Orf1ab gene, considered optimal for surveillance.

Clinical Implications

Wastewater SARS-CoV-2 monitoring can serve as an early warning system for symptomatic COVID-19 surges, enabling healthcare systems to anticipate workforce shortages and implement timely infection control measures. This approach complements individual testing, especially as home testing reduces official case reporting. Incorporating wastewater data into public health surveillance can improve preparedness and response strategies.

Conclusion

SARS-CoV-2 wastewater surveillance effectively forecasts symptomatic COVID-19 incidence in the community, maintaining its utility as a public health tool despite evolving pandemic dynamics. This method supports proactive healthcare workforce and community health management.

References

  1. University of Minnesota IRB 00023171 -- Study Oversight
  2. Fairview Health Services Employee Health Data -- COVID-19 Positive Test Results
  3. TaqPath COVID-19 Combo Kit (Thermo Fisher) -- PCR Methodology

Original Source(s)

Related Content