Published on in Vol 11 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/68213, first published .
Statistical Relationship Between Wastewater Data and Case Notifications for COVID-19 Surveillance in the United States From 2020 to 2023: Bayesian Hierarchical Modeling Approach

Statistical Relationship Between Wastewater Data and Case Notifications for COVID-19 Surveillance in the United States From 2020 to 2023: Bayesian Hierarchical Modeling Approach

Statistical Relationship Between Wastewater Data and Case Notifications for COVID-19 Surveillance in the United States From 2020 to 2023: Bayesian Hierarchical Modeling Approach

Masahiko Haraguchi   1 , PhD ;   Fayette Klaassen   1 , PhD ;   Ted Cohen   2 , MD, DPH ;   Joshua A Salomon   3 , PhD ;   Nicolas A Menzies   1 , PhD

1 Department of Global Health and Population, Harvard T H Chan School of Public Health, Boston, MA, United States

2 Department of Epidemiology of Microbial Diseases and Public Health Modeling Unit, Yale School of Public Health, New Haven, CT, United States

3 Department of Health Policy, Stanford University, Stanford, CA, United States

Corresponding Author:

  • Masahiko Haraguchi, PhD
  • Department of Global Health and Population
  • Harvard T H Chan School of Public Health
  • 677 Huntington Ave
  • Boston, MA 02115
  • United States
  • Phone: 1 6174321046
  • Email: mharaguchi@hsph.harvard.edu