ArticleJournal of medical Internet research2021
COVID-19 Information Dissemination Using the WeChat Communication Index: Retrospective Analysis Study.
Article in Journal of medical Internet research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
10 citing papers in PubMed.
- Article
- 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 · 2025Observational
- Era of Generalist Conversational Artificial Intelligence to Support Public Health Communications.Journal of medical Internet research · 2025Article
- Public concerns analysis and early warning of Mpox based on network data platforms-taking Baidu and WeChat as example.Frontiers in public health · 2025Article
- COVID-19 information seeking and individuals' protective behaviors: examining the role of information sources and information content.BMC public health · 2024Article
- The development and evaluation of a social media-based HIV knowledge dissemination platform in China.International journal of nursing sciences · 2023Article
- Exploring the impact of sentiment on multi-dimensional information dissemination using COVID-19 data in China.Computers in human behavior · 2023Article
- COVID-19 anxiety: The impact of older adults' transmission of negative information and online social networks.Aging and health research · 2023Article
- 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 · 2022Review
- Article
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe COVID-19 outbreak has tremendously impacted the world. The number of confirmed cases has continued to increase, causing damage to society and the economy worldwide. The public pays close attention to information on the pandemic and learns about the disease through various media outlets. The dissemination of comprehensive and accurate COVID-19 information that the public needs helps to educate people so they can take preventive measures.
objectiveThis study aimed to examine the dissemination of COVID-19 information by analyzing the information released by the official WeChat account of the People's Daily during the pandemic. The most-read COVID-19 information in China was summarized, and the factors that influence information dissemination were studied to understand the characteristics that affect its dissemination. Moreover, this was conducted in order to identify how to effectively disseminate COVID-19 information and to provide suggestions on how to manage public opinion and information governance during a pandemic.
methodsThis was a retrospective study based on a WeChat official account. We collected all COVID-19-related information, starting with the first report about COVID-19 from the People's Daily and ending with the last piece of information about lifting the first-level emergency response in 34 Chinese provinces. A descriptive analysis was then conducted on this information, as well as on Qingbo Big Data's dissemination index. Multiple linear regression was utilized to study the factors that affected information dissemination based on various characteristics and the dissemination index.
resultsFrom January 19 to May 2, 2020, the People's Daily released 1984 pieces of information; 1621 were related to COVID-19, which mainly included headline news items, items with emotional content, and issues related to the pandemic's development. By analyzing the dissemination index, seven information dissemination peaks were discerned. Among the three dimensions of COVID-19 information-media salience, content, and format-eight factors affected the spread of COVID-19 information.
conclusionsDifferent types of pandemic-related information have varying dissemination power. To effectively disseminate information and prevent the spread of COVID-19, we should identify the factors that affect this dissemination. We should then disseminate the types of information the public is most concerned about, use information to educate people to improve their health literacy, and improve public opinion and information governance.
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