最佳的时间间治愈药物开支:法国的C型肝炎病例
Pierre Dubois1, Thierry Magnac1
1Toulouse School of Economics, University of Toulouse, France.
Journal of health economics
|February 17, 2024
概括
卫生当局面临的流行病控制的权衡与新的治疗疗法. 最佳的政策涉及预先装载预算,显示出相对于持续分配的好处.
科学领域:
- 流行病学 流行病学
- 卫生经济学 卫生经济学
- 数学建模的数学建模
背景情况:
- 创新的治疗方法为疫情控制带来了新的挑战.
- 卫生当局必须在实施新疗法时,随着时间的推移平衡成本和收益.
- 无症状患者和不断变化的治疗环境使流行病建模复杂化.
研究的目的:
- 分析卫生当局在使用新疗法控制流行病时所面临的时间间权衡.
- 在药物创新阶段确定治疗费用的最佳支出策略.
- 将动态SIR模型应用于现实世界的案例研究并进行校准.
主要方法:
- 开发一个动态控制的易感感染者-康复者 (SIR) 模型,包括无症状病例.
- 对治疗费用序列的最佳性条件的分析.
- 使用C型肝炎的法国数据对SIR模型进行校准.
- 模拟最佳的流行病控制政策.
主要成果:
- 关于最佳策略的分析结论取决于参数.
- 最优的政策建议将时间间的预算提前用于疫情控制.
- 与持续的预算分配相比,临时预算提供了显著的优势.
结论:
- 动态建模对于优化流行病控制策略与新疗法至关重要.
- 对治疗疗法的战略性预先投资可以导致更有效的流行病管理.
- 调查结果强调了前性公共卫生预算拨款的经济效益.
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