利用机器学习技术,确定在部分接种疫苗的人群中对接收COVID-19强剂量和疫苗疲劳的意图的影响因素
Athina Bikaki1, Justin M Luningham2, Erika L Thompson3
1Department of Computer Science, University of Houston, Houston, TX USA.
Discover public health
|November 11, 2024
概括
接种COVID-19助推剂受到疫苗安全感知和社交媒体等可信信息来源的影响. 那些因COVID-19住院的人不太可能打算得到一个强剂量.
科学领域:
- 公共卫生 公共卫生
- 流行病学 流行病学
- 行为科学 行为科学
背景情况:
- 在全球范围内,COVID-19助推剂的吸收仍然是一个关键的公共卫生问题.
- 了解影响助推器犹的因素对于有效的流行病管理至关重要.
- 德克萨斯州拥有多样化的人口和独特的价值观,为研究疫苗行为提供了一个独特的背景.
研究的目的:
- 评估德克萨斯州接种疫苗的人群中COVID-19提升剂的意图和犹.
- 确定与助推器决策相关的关键社会人口统计,健康相关和信息因素.
- 探索感知风险和可信的信息来源对增强剂吸收的影响.
主要方法:
- 在2022年6月至7月期间,对274名接种疫苗的德克萨斯州居民进行了调查.
- 机器学习技术被用来分析调查数据并确定重要的预测因素.
- 助推意图被分为三个组:是,不是和不确定.
主要成果:
- 41.2%的人打算接受增剂,39.1%的人没有,而19.7%的人尚未决定.
- 对疫苗安全性的看法显著影响了增强剂的意图.
- 相信社交媒体联系人作为信息来源与更高的提升意图相关联.
- 之前因COVID-19住院的个人与那些打算提高的相比,显示出更低的增压意图.
- 相信未来住院的风险增加了助推意图.
结论:
- 疫苗安全感知和可信的信息来源是COVID-19助推器决策的关键驱动因素.
- 公共卫生战略应解决子组的具体问题,例如以前住院的人.
- 这些发现为改善当前和未来疫情期间的增强剂吸收提供了可转移的见解.
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