This paper is in the following e-collection/theme issue:

Pilot studies (non-ehealth) (65) Substance Abuse (419) Surveillance Systems (462) Innovative Methods in Public Health and Surveillance (332) Public Health (197) Environmental Health (79) Water, Oceans, and Hydro Sciences (35)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45353, first published .
Analysis of Wastewater Samples to Explore Community Substance Use in the United States: Pilot Correlative and Machine Learning Study

Analysis of Wastewater Samples to Explore Community Substance Use in the United States: Pilot Correlative and Machine Learning Study

Analysis of Wastewater Samples to Explore Community Substance Use in the United States: Pilot Correlative and Machine Learning Study

Authors of this article:

Marie A Severson1 Author Orcid Image ;   Sathaporn Onanong2 Author Orcid Image ;   Alexandra Dolezal1 Author Orcid Image ;   Shannon L Bartelt-Hunt3 Author Orcid Image ;   Daniel D Snow2 Author Orcid Image ;   Lisa M McFadden1 Author Orcid Image
Article Authors Cited by (1) Tweetations (4) Metrics

Marie A Severson   1 , MS ;   Sathaporn Onanong   2 , PhD ;   Alexandra Dolezal   1 , MS ;   Shannon L Bartelt-Hunt   3 , PhD ;   Daniel D Snow   2 , PhD ;   Lisa M McFadden   1 , PhD

1 Division of Basic Biomedical Sciences, University of South Dakota, Vermillion, SD, United States

2 Water Sciences Laboratory & Nebraska Water Center, part of the Daugherty Water for Food Global Institute, University of Nebraska-Lincoln, Lincoln, NE, United States

3 Department of Civil and Environmental Engineering, University of Nebraska-Lincoln, Lincoln, NE, United States

Corresponding Author:

  • Lisa M McFadden, PhD
  • Division of Basic Biomedical Sciences
  • University of South Dakota
  • 414 E. Clark St.
  • Vermillion, SD, 57069
  • United States
  • Phone: 1 605-658-6436
  • Email: lisa.mcfadden@usd.edu