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

JMIR Theme Issue: COVID-19 Special Issue (2493) Information Seeking, Information Needs (525) Outbreak and Pandemic Preparedness and Management (1779) Mass Media/Social Media Communication and Campaigns (509) Consumer & Patient Education and Shared-Decision Making (761) Infodemiology and Infoveillance (1455) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1087) Infectious Diseases (non-STD/STI) (1657)

Published on in Vol 23, No 7 (2021): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/28563, first published .
COVID-19 Information Dissemination Using the WeChat Communication Index: Retrospective Analysis Study

COVID-19 Information Dissemination Using the WeChat Communication Index: Retrospective Analysis Study

COVID-19 Information Dissemination Using the WeChat Communication Index: Retrospective Analysis Study

Authors of this article:

Zina Fan1, 2 Author Orcid Image ;   Wenqiang Yin1, 3 Author Orcid Image ;   Han Zhang1, 2 Author Orcid Image ;   Dandan Wang1, 2 Author Orcid Image ;   Chengxin Fan1, 2 Author Orcid Image ;   Zhongming Chen1, 3 Author Orcid Image ;   Jinwei Hu1, 3 Author Orcid Image ;   Dongping Ma1, 3 Author Orcid Image ;   Hongwei Guo1, 2 Author Orcid Image
Article Authors Cited by (16) Tweetations (2) Metrics

Journals

  1. O'Shaughnessy S, Dimagli A, Kachulis B, Rahouma M, Demetres M, Govea N, Rong L. Evaluation of the quality of COVID-19 guidance documents in anaesthesia using the Appraisal of Guidelines for Research and Evaluation II instrument. British Journal of Anaesthesia 2022;129(6):851 View
  2. Dong L, Yang L. COVID-19 anxiety: The impact of older adults’ transmission of negative information and online social networks. Aging and Health Research 2023;3(1):100119 View
  3. Liu Y, Zhang S, Wu X, Li Q, Wang Y, Huang Y, Zhang F, Cui B, Lu X. Instant messaging client gives the opportunity to recognize gut microbiota and dysbiosis-related disease: An investigation study on WeChat APP. DIGITAL HEALTH 2022;8:205520762211150 View
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  5. Han S, Li H, Li K, Wang Z. The development and evaluation of a social media-based HIV knowledge dissemination platform in China. International Journal of Nursing Sciences 2023;10(3):288 View
  6. Li Y, Sheng D. Determinants of public emergency information dissemination on social networks: A meta-analysis. Computers in Human Behavior 2024;152:108055 View
  7. Zhang X, Du L, Huang Y, Luo X, Wang F. COVID-19 information seeking and individuals’ protective behaviors: examining the role of information sources and information content. BMC Public Health 2024;24(1) View
  8. Nielsen A, Landwehr D, Nicolaï J, Patil T, Raju E. Social media and crowdsourcing in disaster risk management: Trends, gaps, and insights from the current state of research. Risk, Hazards & Crisis in Public Policy 2024;15(2):104 View
  9. Tan Q, Yang Y, Lu B, He H, Teng L. Use of the Baidu Index to Measure Public Attention in China on the China–Myanmar Border. Sage Open 2024;14(4) View
  10. Li Y, Zhao Y, Yao N, Zhou S, Jiang B, Xiong Y, Zhou C. Sexually transmitted diseases and immunology articles pushed by WeChat official accounts are of most interest to the Chinese public: A national cross-sectional study in China. Heliyon 2025;11(2):e41820 View
  11. Sezgin E, Kocaballi A. Era of Generalist Conversational Artificial Intelligence to Support Public Health Communications. Journal of Medical Internet Research 2025;27:e69007 View
  12. Liao J, Huang X, Huang H, Shen C, Li L, Li Y, Zhan Y. Analysis of “Dr Ding Xiang” on WeChat in China to Determine Factors Influencing Readership on Medical Social Media: Observational Study. Journal of Medical Internet Research 2025;27:e65372 View
  13. Wella K, Mtambo J, Lazaro M, Mapulanga P. The Role of Social Media for Health Communication During COVID-19: A Scoping Review. Journal of Consumer Health on the Internet 2025:1 View
  14. Yang K, Fan S, Deng J, Xia J, Hu X, Yu L, Wang B, Yu W. Public concerns analysis and early warning of Mpox based on network data platforms—taking Baidu and WeChat as example. Frontiers in Public Health 2025;13 View

Books/Policy Documents

  1. Andriano-Moore S, Cai Y. Coping with COVID-19, the Mobile Way. View
  2. Gómez-Salgado J, García-Iglesias J, Allande-Cussó R, Ruiz-Frutos C. Linking Neuroscience and Behavior in COVID-19. View