优先考虑资源贫困地区的COVID-19疫苗分配:朝着支持人工智能和地理空间辅助决策支持框架
Soheil Shayegh1, Javier Andreu-Perez2,3, Caroline Akoth4
1RFF-CMCC European Institute on Economics and the Environment, Centro Euro-Mediterraneo sui Cambiamenti Climatici, Milan, Italy.
PloS one
|August 10, 2023
概括
新的3V框架优先为弱势群体分配COVID-19疫苗. 这种人工智能驱动的方法确保了公平的分配,与目前的策略不同,这些策略将社会脆弱的个人留在后面.
科学领域:
- 公共卫生 公共卫生
- 流行病学 流行病学
- 医疗信息学 医疗信息学
背景情况:
- 公平地分配COVID-19疫苗仍然是一个全球性的挑战.
- 当前的战略可能无法充分解决社会脆弱性.
- 优化疫苗分配对于疫情控制至关重要.
研究的目的:
- 提出一种新的COVID-19疫苗分配框架,使用脆弱性,疫苗接种和价值 (3Vs).
- 开发一个动态机制,更新脆弱性和疫苗接种情况.
- 确保公平分配,优先考虑弱势群体.
主要方法:
- 地理空间数据分析和人工智能 (AI) 方法.
- 收集脆弱性数据 (人口,社会经济,流行病学,医疗保健,环境).
- 人工智能支持专家诱导,用于创建脆弱性指数.
- 考虑到当地约束的GIS辅助分配.
主要成果:
- 一个全面的3V框架,整合脆弱性,疫苗接种状态和社会价值观.
- 一种人工智能驱动的方法来估计一个独特的脆弱性指数.
- 与当前方法相比,在疫苗分配方面提高了公平性的证明.
结论:
- 三维战略显著提高了社会弱势群体的疫苗优先级.
- 实施3Vs框架可能会导致更公平的COVID-19疫苗分配.
- 拟议的框架为疫苗分配提供了一个动态和特定环境的解决方案.
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