COVID-19 vaccine equity and health equity conversations on Twitter.
Autor: | Jain NR; MU Institute for Data Science and Informatics, University of Missouri, Columbia, Missouri.; Department of Health Management and Informatics, University of Missouri, Columbia, Missouri.; Missouri Cancer Registry and Research Center, Columbia, Missouri., Zachary I; MU Institute for Data Science and Informatics, University of Missouri, Columbia, Missouri.; Department of Health Management and Informatics, University of Missouri, Columbia, Missouri.; Missouri Cancer Registry and Research Center, Columbia, Missouri., Boren SA; MU Institute for Data Science and Informatics, University of Missouri, Columbia, Missouri.; Department of Health Management and Informatics, University of Missouri, Columbia, Missouri. |
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Jazyk: | angličtina |
Zdroj: | AMIA ... Annual Symposium proceedings. AMIA Symposium [AMIA Annu Symp Proc] 2024 Jan 11; Vol. 2023, pp. 997-1006. Date of Electronic Publication: 2024 Jan 11 (Print Publication: 2023). |
Abstrakt: | This study used social network analysis and trending hashtags on Twitter to identify trends related to health and vaccine equity during the Omicron wave. The analysis was conducted using consumer-friendly platforms/tools such as the Healthcare Hashtag Project and NodeXL. The study found that during the Omicron wave, there was a higher volume of tweets related to the more specific hashtag #VaccineEquity, as compared to the more general topic of #HealthEquity. The study also identified the top influencers for these hashtags and how they changed over time. The study proposes a combination of existing tools and approaches, including ontological surveillance and social network analysis, to develop proactive strategies that respond to public opinion in a timely manner. Social network analysis tools could also be useful for healthcare organizations and providers in training their staff involved in social media management to develop better social media communication strategies. (©2023 AMIA - All rights reserved.) |
Databáze: | MEDLINE |
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