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

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Objective:

To examine the correlation between symptomatic COVID-19 in health care employees and SARS-CoV-2 levels in wastewater from the Twin Cities area.

Key Findings:
  • SARS-CoV-2 levels in wastewater accurately predicted symptomatic COVID-19 case counts in the community one week later (P = .001), indicating a strong predictive relationship.
  • The study included 6879 positive test results from individuals living in the wastewater catchment area.
Interpretation:

Wastewater surveillance for SARS-CoV-2 is a useful tool for predicting symptomatic COVID-19 infections, especially in healthcare settings where workforce planning is critical.

Limitations:
  • The predictive relationship between wastewater levels and hospitalizations has degraded due to widespread immunity, complicating the monitoring of COVID-19 cases.
  • Home testing results are less frequently reported, complicating the monitoring of COVID-19 cases and potentially skewing data accuracy.
Conclusion:

SARS-CoV-2 wastewater monitoring can effectively forecast symptomatic infections, aiding public health responses and workforce management, particularly in healthcare settings.

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