在Twitter上进行的COVID-19疫苗公平和健康公平对话
Nishant R Jain1,2,3, Iris Zachary1,2,3, Suzanne A Boren1,2
1MU Institute for Data Science and Informatics, University of Missouri, Columbia, Missouri.
AMIA ... Annual Symposium proceedings. AMIA Symposium
|January 15, 2024
概括
在Omicron浪潮期间,推特上的#VaccineEquity推文数量超过了Twitter上的#HealthEquity讨论. 社交网络分析可以为积极的公共卫生沟通策略和社交媒体培训提供信息.
科学领域:
- 公共卫生 公共卫生
- 社交媒体分析 社交媒体分析
- 卫生沟通健康沟通
背景情况:
- 奥米克朗波对公共卫生沟通和理解公众情绪提出了独特的挑战.
- 监测在线话语对于及时的健康干预和政策制定至关重要.
研究的目的:
- 在Omicron浪潮期间分析与健康和疫苗公平相关的Twitter趋势.
- 为了比较#VaccineEquity和#HealthEquity标签的数量和影响者.
- 通过使用社交网络分析,提出积极的公共卫生沟通策略.
主要方法:
- 利用社交网络分析 (SNA) 和推特上的趋势标签分析.
- 采用了消费者友好的工具,如医疗保健标签项目和NodeXL.
- 追踪了标签量,顶级影响者和时间变化.
主要成果:
- 标签#VaccineEquity在Omicron浪潮期间产生了比更广泛的#HealthEquity更高的推文量.
- 在研究期间确定了关键影响者和影响力的转变.
- 证明了SNA在理解公共卫生话语中的实用性.
结论:
- 社交网络分析和标签追踪为公共卫生趋势提供了宝贵的见解.
- 结合本体监测和SNA的积极战略可以改善对公众论的反应.
- SNA工具可以增强医疗保健组织的社交媒体管理培训.
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