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

Infodemiology and Infoveillance (1565) Depression and Mood Disorders; Suicide Prevention (1702) Mental Health Issues in Adolescence (645) Information Seeking, Information Needs (561)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/51710, first published .
Association Between School-Related Google Trends Search Volume and Suicides Among Children and Adolescents in Japan During 2016-2020: Retrospective Observational Study With a Time-Series Analysis

Association Between School-Related Google Trends Search Volume and Suicides Among Children and Adolescents in Japan During 2016-2020: Retrospective Observational Study With a Time-Series Analysis

Association Between School-Related Google Trends Search Volume and Suicides Among Children and Adolescents in Japan During 2016-2020: Retrospective Observational Study With a Time-Series Analysis

Authors of this article:

Takahiro Arai1, 2, 3 Author Orcid Image ;   Hiroe Tsubaki4 Author Orcid Image ;   Ayako Wakano5 Author Orcid Image ;   Yasuyuki Shimizu3 Author Orcid Image
Article Authors Cited by (3) Tweetations (3) Metrics

Journals

  1. Kachlik Z, Walaszek M, Nazar W, Sokołowska M, Karbiak A, Pilarska E, Cubała W. Predicting Suicide Attempt Trends in Youth: A Machine Learning Analysis Using Google Trends and Historical Data. Journal of Clinical Medicine 2025;14(18):6373 View
  2. Kubota T, Arai T, Liew K. Logistic regression analysis of textual data on suicidal ideation. PLOS Mental Health 2025;2(9):e0000440 View
  3. Arai T, Shinkai H, Yamauchi K. Temporal analysis of posts on a Japanese online message board for suicide risk monitoring. BMC Psychiatry 2025;25(1) View