Statistical Relationship Between Wastewater Data and Case Notifications for COVID-19 Surveillance in the United States From 2020 to 2023: Bayesian Hierarchical Modeling Approach
In a sample of 107 US counties, wastewater surveillance had a close relationship with COVID-19 cases reported for the majority of locations, with these relationships found to be stronger in counties with greater population size and urbanicity. In situations where routine COVID-19 surveillance data are less reliable, wastewater surveillance may be used to track local SARS-CoV-2 incidence trends.
Authors
- Masahiko Haraguchi (ORCID: https://orcid.org/0000-0002-3250-5746)
- Joshua A. Salomon (ORCID: https://orcid.org/0000-0003-3929-5515)
- Ted Cohen (ORCID: https://orcid.org/0000-0002-8091-7198)
- Nicolas A. Menzies (ORCID: https://orcid.org/0000-0002-2571-016X)
- Fayette Klaassen (ORCID: https://orcid.org/0000-0002-9488-2571)
Institutions
- Yale University (US)
- Stanford Health Care (US)
- Harvard Global Health Institute (US)
- Stanford University (US)
Publication Details
- Journal
- JMIR Public Health and Surveillance
- Published
- 2025-02-18
- DOI
- https://doi.org/10.2196/68213
- Citations
- 6
- Primary Topic
- SARS-CoV-2 detection and testing
- Type
- article
- Field-Weighted Citation Impact
- 8.38