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

Pilot studies (non-ehealth) (67) Substance Abuse (428) Surveillance Systems (466) Innovative Methods in Public Health and Surveillance (336) Public Health (207) Environmental Health (81) 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

Journals

  1. Castillo-Toledo C, Fraile-Martínez O, Donat-Vargas C, Lara-Abelenda F, Ortega M, Garcia-Montero C, Mora F, Alvarez-Mon M, Quintero J, Alvarez-Mon M. Insights from the Twittersphere: a cross-sectional study of public perceptions, usage patterns, and geographical differences of tweets discussing cocaine. Frontiers in Psychiatry 2024;15 View