Wastewater Measures of SARS-CoV-2 Accurately Predict Frequency of Symptomatic Infections in the Community
These data demonstrate the utility of SARS-CoV-2 wastewater surveillance as it accurately predicts the frequency of symptomatic infection in the community.
Authors
- Mark J. Osborn (ORCID: https://orcid.org/0000-0003-1790-0841)
- Timothy W. Schacker (ORCID: https://orcid.org/0000-0002-2451-9937)
- Carolyn B. Meyer (ORCID: https://orcid.org/0000-0001-8722-1612)
- Charles R. Doss (ORCID: https://orcid.org/0000-0003-1364-5222)
- Sara M. Vetter
- Joshua Rhein (ORCID: https://orcid.org/0000-0002-0480-9646)
- David Ouyang (ORCID: https://orcid.org/0000-0002-3813-7518)
- Law Wan Chung
- Yi Tang (ORCID: https://orcid.org/0000-0002-2594-6068)
- Shannon Champeau
- Laura Landini (ORCID: https://orcid.org/0009-0009-3840-9825)
- Mason Hayden
- Stacey Stark
- Joyce Van Donkersgoed
- Donna Budde
Institutions
- University of Minnesota (US)
- Fairview Health Services (US)
- University of New Mexico (US)
- University of Minnesota, Duluth (US)
- Minnesota Department of Health (US)
Publication Details
- Journal
- The Journal of Infectious Diseases
- Published
- 2025-05-08
- DOI
- https://doi.org/10.1093/infdis/jiaf242
- Citations
- 4
- Primary Topic
- SARS-CoV-2 detection and testing
- Type
- article
- Field-Weighted Citation Impact
- 5.58
Funders
- Minnesota Department of Health
- Centers for Disease Control and Prevention