Applications of Social Media and Digital Technologies in COVID-19 Vaccination: Scoping Review

被引:11
|
作者
Zang, Shujie [1 ,2 ]
Zhang, Xu [1 ,2 ]
Xing, Yuting [1 ,2 ]
Chen, Jiaxian [1 ]
Lin, Leesa [3 ,4 ]
Hou, Zhiyuan [1 ,2 ,5 ]
机构
[1] Fudan Univ, Sch Publ Hlth, Shanghai, Peoples R China
[2] Fudan Univ, Global Hlth Inst, Shanghai, Peoples R China
[3] London Sch Hyg & Trop Med, Dept Infect Dis Epidemiol, London, England
[4] Lab Data Discovery Hlth D24H, Hong Kong Sci Pk, Hong Kong, Peoples R China
[5] Fudan Univ, Sch Publ Hlth, 130 Dongan Rd, Shanghai 200032, Peoples R China
关键词
social media; digital health; COVID-19; vaccination; review; SENTIMENT ANALYSIS; TWITTER; VACCINES; INFORMATION; CHALLENGES; OPINIONS; IMPACT;
D O I
10.2196/40057
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Background: Social media and digital technologies have played essential roles in disseminating information and promoting vaccination during the COVID-19 pandemic. There is a need to summarize the applications and analytical techniques of social media and digital technologies in monitoring vaccine attitudes and administering COVID-19 vaccines. Objective: We aimed to synthesize the global evidence on the applications of social media and digital technologies in COVID-19 vaccination and to explore their avenues to promote COVID-19 vaccination. Methods: We searched 6 databases (PubMed, Scopus, Web of Science, Embase, EBSCO, and IEEE Xplore) for English-language articles from December 2019 to August 2022. The search terms covered keywords relating to social media, digital technology, and COVID-19 vaccines. Articles were included if they provided original descriptions of applications of social media or digital health technologies/solutions in COVID-19 vaccination. Conference abstracts, editorials, letters, commentaries, correspondence articles, study protocols, and reviews were excluded. A modified version of the Appraisal Tool for Cross-Sectional Studies (AXIS tool) was used to evaluate the quality of social media-related studies. The review was undertaken with the guidance of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews. Results: A total of 178 articles were included in our review, including 114 social media articles and 64 digital technology articles. Social media has been applied for sentiment/emotion analysis, topic analysis, behavioral analysis, dissemination and engagement analysis, and information quality analysis around COVID-19 vaccination. Of these, sentiment analysis and topic analysis were the most common, with social media data being primarily analyzed by lexicon-based and machine learning techniques. The accuracy and reliability of information on social media can seriously affect public attitudes toward COVID-19 vaccines, and misinformation often leads to vaccine hesitancy. Digital technologies have been applied to determine the COVID-19 vaccination strategy, predict the vaccination process, optimize vaccine distribution and delivery, provide safe and transparent vaccination certificates, and perform postvaccination surveillance. The applied digital technologies included algorithms, blockchain, mobile health, the Internet of Things, and other technologies, although with some barriers to their popularization. Conclusions: The applications of social media and digital technologies in addressing COVID-19 vaccination-related issues represent an irreversible trend. Attention should be paid to the ethical issues and health inequities arising from the digital divide while applying and promoting these technologies.
引用
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页数:22
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