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

Infodemiology and Infoveillance (1163) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (944) Information Seeking, Information Needs (386) Information Retrieval (239) Substance Abuse (319)

Published on in Vol 24, No 12 (2022): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/41527, first published .
Characterizing Help-Seeking Searches for Substance Use Treatment From Google Trends and Assessing Their Use for Infoveillance: Longitudinal Descriptive and Validation Statistical Analysis

Characterizing Help-Seeking Searches for Substance Use Treatment From Google Trends and Assessing Their Use for Infoveillance: Longitudinal Descriptive and Validation Statistical Analysis

Characterizing Help-Seeking Searches for Substance Use Treatment From Google Trends and Assessing Their Use for Infoveillance: Longitudinal Descriptive and Validation Statistical Analysis

Authors of this article:

Thomas Patton 1 Author Orcid Image ;   Daniela Abramovitz 2 Author Orcid Image ;   Derek Johnson 3 Author Orcid Image ;   Eric Leas 4 Author Orcid Image ;   Alicia Nobles 1 Author Orcid Image ;   Theodore Caputi 5 Author Orcid Image ;   John Ayers 1 Author Orcid Image ;   Steffanie Strathdee 1 Author Orcid Image ;   Annick Bórquez 1 Author Orcid Image
Article Authors Cited by (1) Tweetations (9) Metrics

Journals

  1. Severson M, Onanong S, Dolezal A, Bartelt-Hunt S, Snow D, McFadden L. Analysis of Wastewater Samples to Explore Community Substance Use in the United States: Pilot Correlative and Machine Learning Study. JMIR Formative Research 2023;7:e45353 View