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

Text-messaging (SMS, WeChat etc)-Based Interventions (663) Public (e)Health, Digital Epidemiology and Public Health Informatics (750) Innovative Methods in Public Health and Surveillance (336) Mass Media/Social Media Communication and Campaigns (466)

Published on in Vol 7, No 6 (2019): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12245, first published .
Factors Influencing User Engagement of Health Information Disseminated by Chinese Provincial Centers for Disease Control and Prevention on WeChat: Observational Study

Factors Influencing User Engagement of Health Information Disseminated by Chinese Provincial Centers for Disease Control and Prevention on WeChat: Observational Study

Factors Influencing User Engagement of Health Information Disseminated by Chinese Provincial Centers for Disease Control and Prevention on WeChat: Observational Study

Authors of this article:

Yan Zhang1 Author Orcid Image ;   Tingsong Xia2 Author Orcid Image ;   Lingfeng Huang1 Author Orcid Image ;   Mingjuan Yin1 Author Orcid Image ;   Mingwei Sun1 Author Orcid Image ;   Jingxiao Huang1 Author Orcid Image ;   Yu Ni3 Author Orcid Image ;   Jindong Ni1 Author Orcid Image
Article Authors Cited by (22) Tweetations (1) Metrics

Journals

  1. Sun M, Yang L, Chen W, Luo H, Zheng K, Zhang Y, Lian T, Yang Y, Ni J. Current status of official WeChat accounts for public health education. Journal of Public Health 2021;43(3):618 View
  2. Zhang X, Chen X, Kourkoumelis N, Gao R, Li G, Zhu C. A Social Media–Promoted Educational Community of Joint Replacement Patients Using the WeChat App: Survey Study. JMIR mHealth and uHealth 2021;9(3):e18763 View
  3. Nie X, Li Y, Li C, Wu J, Li L. The Association Between Health Literacy and Self-rated Health Among Residents of China Aged 15–69 Years. American Journal of Preventive Medicine 2021;60(4):569 View
  4. Shen D, Liu D, Cai M, Chen P, Wang Z, Zhang Y, Li Z, Zhang X, Wu X, Yang X, Mao C. Association between supportive attitude and adoptive practice of control strategy against COVID-19 amosng college students in China: a cross-sectional study. BMC Public Health 2021;21(1) View
  5. Li J, Yu K, Bao X, Liu X, Yao J. Patterns of eHealth Website User Engagement Based on Cross-site Clickstream Data: Correlational Study. Journal of Medical Internet Research 2021;23(8):e29299 View
  6. Ma X, Lu J, Liu W. Influencing Factors on Health Information to Improve Public Health Literacy in the Official WeChat Account of Guangzhou CDC. Frontiers in Public Health 2021;9 View
  7. Xu L, Li P, Hou X, Yu H, Tang T, Liu T, Xiang S, Wu X, Huang C. Middle-aged and elderly users’ continuous usage intention of health maintenance-oriented WeChat official accounts: empirical study based on a hybrid model in China. BMC Medical Informatics and Decision Making 2021;21(1) View
  8. Bian D, Shi Y, Tang W, Li D, Han K, Shi C, Li G, Zhu F. The Influencing Factors of Nutrition and Diet Health Knowledge Dissemination Using the WeChat Official Account in Health Promotion. Frontiers in Public Health 2021;9 View
  9. Fang H, Lv Y, Chen L, Zhang X, Hu Y. The Current Knowledge, Attitudes, and Practices of the Neglected Methodology of Web-Based Questionnaires Among Chinese Health Workers: Web-Based Questionnaire Study. Journal of Medical Internet Research 2023;25:e41591 View
  10. Yin M, Chen S, Pan X, Lu C, Lin X, Wang M, Ni J. Effects of Chinese provincial CDCs WeChat official account article features on user engagement during the COVID-19 pandemic. Journal of Global Health 2023;13 View
  11. Gu D, Liu H, Zhao H, Yang X, Li M, Liang C. A deep learning and clustering‐based topic consistency modeling framework for matching health information supply and demand. Journal of the Association for Information Science and Technology 2024;75(2):152 View
  12. Liang X, Yan M, Li H, Deng Z, Lu Y, Lu P, Cai S, Li W, Fang L, Xu Z. WeChat official accounts’ posts on medication use of 251 community healthcare centers in Shanghai, China: content analysis and quality assessment. Frontiers in Medicine 2023;10 View
  13. Guo X, Chen X, Liang X. A big data analytics method for the influence of WeChat public platform articles on blood donation behavior. Industrial Management & Data Systems 2024;124(3):1026 View
  14. Yin X, Pan J, Xu F. Effects of Wuxi CDC WeChat official account article features on user engagement in health promotion. BMC Public Health 2024;24(1) View
  15. Ye J. Transforming and facilitating health care delivery through social networking platforms: evidences and implications from WeChat. JAMIA Open 2024;7(2) View
  16. Yip Y, Makmor-Bakry M, Chong W. Elements Influencing User Engagement in Social Media Posts on Lifestyle Risk Factors: Systematic Review. Journal of Medical Internet Research 2024;26:e59742 View
  17. Jia X, Ahn S, Seelig M, Morgan S. The Role of Health Belief Model Constructs and Content Creator Characteristics in Social Media Engagement: Insights from COVID-19 Vaccine Tweets. Healthcare 2024;12(18):1845 View
  18. Wang Q, Lee R, Hunter S, Zhu A, Chan S. Patient Engagement in a Mobile App–Based Rehabilitation Program for Total Hip or Knee Arthroplasty: Secondary Data Analysis of a Randomized Controlled Trial. JMIR mHealth and uHealth 2024;12:e57635 View
  19. Li K, Chen Z, Li L, Li K. The Impact of Title Features on the Communication Effect of County-Level Converged Media Centers’ WeChat Official Accounts: Taking Guangxi as an Example. IEEE Access 2024;12:136837 View
  20. Zhang Y, Chen L, Zhu G. Taking a peek matters: Surveying the role of information scanning on COVID-19 vaccination intentions. Health Literacy and Communication Open 2024;2(1) View

Books/Policy Documents

  1. Cheng C, Espanha R. Advances in Design and Digital Communication II. View
  2. Wang X, Song X, Zhao Y. HCI International 2023 – Late Breaking Papers. View