艾滋病毒方案干预的混合模拟模型:从传播行为到宏观经济影响
William Crown1, Erin Britton2, Moaven Razavi3
1Center for Innovation in Social Work and Health, School of Social Work, Crosstown Center, 3rd Floor 801 Massachusetts Avenue, Boston University, Boston, MA 02118, USA.
Therapeutic advances in drug safety
|August 25, 2025
概括
模拟工具可以将药物安全结果与经济影响联系起来. 一个基于代理的模型显示,同行导航程序增加了坦桑尼亚的HIV治疗参与度和病毒负载抑制,宏观经济效应适度.
科学领域:
- 健康经济学
- 流行病学
- 计算机建模
背景情况:
- 通过使用目标试验框架等方法,从观察数据中估计药物安全效应已经取得了进展.
- 然而,目前的模型很少将药物安全结果与经济影响联系起来,这是COVID-19大流行所凸显的重大局限性.
研究的目的:
- 展示模拟工具如何使决策者能够评估药物安全性和有效性结果.
- 将这些结果与经济影响联系起来.
主要方法:
- 为坦桑尼亚支持艾滋病毒治疗的同行导航程序开发基于代理的模拟模型 (ABM).
- 将ABM结果与人口预测的SPECTRUM模型集成.
- 用劳动力数据和计量经济模型将人口预测转化为宏观经济影响.
主要成果:
- 据ABM估计,抗逆转录病毒治疗 (ART) 的参与率增加了12% - 15%.
- 病毒载量抑制 (VLS) 显著改善,在男性和女性中均有超过30个百分点的改善.
- 观察到对死亡率和宏观经济结果的适度影响,这归因于坦桑尼亚的先进艾滋病毒控制状态.
结论:
- 这项研究证明了将行为干预的基于代理的模拟与人口和宏观经济结果的可行性.
- 同行导航者干预对艾滋病毒治疗和VLS的影响表明,在艾滋病毒负担较大的环境中,宏观经济效益更大.
- 模拟工具为政策制定者提供了一种有价值的方法来评估卫生干预措施的多方面的影响.
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