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

Infodemiology and Infoveillance (1311) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1027) Information Seeking, Information Needs (448) Information Retrieval (271) Substance Abuse (400)

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 Patton1 Author Orcid Image ;   Daniela Abramovitz2 Author Orcid Image ;   Derek Johnson3 Author Orcid Image ;   Eric Leas4 Author Orcid Image ;   Alicia Nobles1 Author Orcid Image ;   Theodore Caputi5 Author Orcid Image ;   John Ayers1 Author Orcid Image ;   Steffanie Strathdee1 Author Orcid Image ;   Annick Bórquez1 Author Orcid Image
Article Authors Cited by (3) Tweetations (8) 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
  2. Russell A, Acuff S, Kelly J, Allem J, Bergman B. ChatGPT‐4: Alcohol use disorder responses. Addiction 2024 View
  3. Nicholls M, Almeida A, Castello J, Grelotti D, Doherty B, Gann D, Lenyoun K, Trillo-Park S, Borquez A. The “MOUD Hub,” a comprehensive online resource on Medications for Opioid Use Disorder: Protocol for a feasibility study assessing user acceptability and reach (Preprint). JMIR Research Protocols 2024 View