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

Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1926) Influenza and Influenza-Like-Illness (ILI) Surveillance (237) Design and Usability of Websites for Special User Groups (238) Mass Media/Social Media Communication and Campaigns (578) Prevention and Health Promotion (1385) Digital Contact Tracing, Digital Proximity Tracing, Precision Public Health (161)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/73677, first published .
Integrating the Situational Theory of Problem Solving and Technology Acceptance Model to Predict Intention to Practice Health Protective Behavior for Influenza-Like Illness Among TikTok Users: Cross-Sectional Study

Integrating the Situational Theory of Problem Solving and Technology Acceptance Model to Predict Intention to Practice Health Protective Behavior for Influenza-Like Illness Among TikTok Users: Cross-Sectional Study

Integrating the Situational Theory of Problem Solving and Technology Acceptance Model to Predict Intention to Practice Health Protective Behavior for Influenza-Like Illness Among TikTok Users: Cross-Sectional Study

Authors of this article:

Can Li1, 2 Author Orcid Image ;   Jen-Sern Tham1, 3 Author Orcid Image ;   Ghazali Akmar Hayati Ahmad1 Author Orcid Image ;   Norliana Hashim1 Author Orcid Image ;   Jeong-Nam Kim4 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Li Q, Jin L, Shi K, Zheng X. Short-video platforms as sources of atherosclerosis information: A cross-sectional content analysis. Medicine 2025;104(40):e45006 View
  2. Zheng X, Li Q, Jin L, Shi K, Deng M. Quality, reliability, and dissemination of lung cancer information on short-video platforms in China: a cross-platform content analysis of TikTok, Kwai, and Rednote. Frontiers in Public Health 2025;13 View