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

Infodemiology and Infoveillance (1463) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1089) Smoking Cessation (594) Information Retrieval (325) Public (e)Health, Digital Epidemiology and Public Health Informatics (866)

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

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/42619, first published .
Predicting Smoking Prevalence in Japan Using Search Volumes in an Internet Search Engine: Infodemiology Study

Predicting Smoking Prevalence in Japan Using Search Volumes in an Internet Search Engine: Infodemiology Study

Predicting Smoking Prevalence in Japan Using Search Volumes in an Internet Search Engine: Infodemiology Study

Authors of this article:

Kazuya Taira1 Author Orcid Image ;   Takahiro Itaya2 Author Orcid Image ;   Sumio Fujita3 Author Orcid Image
Article Authors Cited by (4) Tweetations (4) Metrics

Journals

  1. Kishimoto M, Masuko K, Yamamoto S, Fujita R, Nakamura S, Odawara M, Zeniya M. Changes in lifestyle-related behaviour during the COVID-19 pandemic in Japan: a questionnaire survey for examinees who underwent an annual health check-up. Journal of International Medical Research 2023;51(7) View
  2. Salagay O. Internet search queries on tobacco and nicotine consumption in 2010—2020: dynamics analysis. Russian Journal of Preventive Medicine 2024;27(5):7 View
  3. Kessoku H, Akutsu T, Mizunari Y, Shimura E, Nagaoka M. The impact of spouses on elderly patients with head and neck cancer. Toukeibu Gan 2024;50(4):304 View
  4. Reshad A, Kawasaki H, Rahman M, Shiraishi M, Nakaoka S, Aivey S. Factors Influencing Smoking Behavior Among Japanese Employees: A Cross-Sectional Study. Cureus 2025 View