为最佳分发COVID-19疫苗进行战略规划
Rogelio Ochoa-Barragán1, Aurora Del Carmen Munguía-López1, José María Ponce-Ortega1
1Department of Chemical Engineering, Universidad Michoacana de San Nicolás de Hidalgo, Morelia, Michoacán, 58060, México.
Socio-economic planning sciences
|May 31, 2023
概括
本研究引入了使用多目标优化和公平性计划的公平疫苗分配策略. 它平衡了公共卫生需求,社会因素和预算限制,以实现最佳分配.
科学领域:
- 运营研究 运营研究
- 公共卫生政策 公共卫生政策
- 卫生经济学 卫生经济学
背景情况:
- 公平的疫苗分配是一个复杂的挑战,受到流行病学风险,社会因素和资源限制的影响.
- 现有的分配模式往往难以平衡竞争对手的目标,如公平,效率和成本效益.
研究的目的:
- 为公平的疫苗分配制定和评估一个多目标的优化战略.
- 整合各种参数,包括公共卫生数据,社会行为 (如腐败,犯罪) 和流行病风险.
- 通过公平性计划和预算约束,探索分配目标之间的权衡.
主要方法:
- 包含公平性计划的多目标优化框架 (社会福利,罗尔西安,纳什).
- 包括流行病学交通灯优先级和社会经济参数.
- 利用帕雷托前沿来确定预算限制下的权衡解决方案.
- 墨西哥的案例研究应用程序具有经济客观的功能.
主要成果:
- 帕雷托最佳解决方案显示了满意度指数和成本之间的妥协.
- 社会福利计划优先考虑高流行病风险地区,适合初始疫苗接种阶段.
- 罗尔斯计划为较低的感染率提供了平衡的解决方案.
- 纳什方案提供了最平衡的分配,适应后期的疫苗接种阶段.
结论:
- 将公平概念与多目标优化相结合,为疫苗分配提供了一个强大的方法.
- 不同的公平计划为疫苗接种运动的不同阶段提供了量身定制的解决方案.
- 该模型有效地可视化了权衡,使得公共卫生资源分配的知情决策成为可能.
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