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

Infodemiology and Infoveillance (1599) Quantified Self and Wellness (125) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1160) Methods and New Tools in Mental Health Research (588) Public (e)Health, Digital Epidemiology and Public Health Informatics (1109) Infoveillance and Social Listening (323) Development and Evaluation of Research Methods, Instruments and Tools (812)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/64555, first published .
Predicting Prefecture-Level Well-Being Indicators in Japan Using Search Volumes in Internet Search Engines: Infodemiology Study

Predicting Prefecture-Level Well-Being Indicators in Japan Using Search Volumes in Internet Search Engines: Infodemiology Study

Predicting Prefecture-Level Well-Being Indicators in Japan Using Search Volumes in Internet Search Engines: Infodemiology Study

Authors of this article:

Myung Si Yang1 Author Orcid Image ;   Kazuya Taira2 Author Orcid Image
Article Authors Cited by (1) Tweetations Metrics

Journals

  1. Kishi K, Hayashi H, Koshimizu S. Prediction of Prefecture-Level Subjective Well-Being in Japan by Using Google Trends and Socioeconomic Data: Machine Learning Model Development and Validation Study. JMIR Formative Research 2026;10:e88696 View