全球结核病投资组合模型:用于预测结核病政策选择的流行病学影响的工具
Sandip Mandal1, Srinath Satyanarayana1,2, Finn McQuaid3
1Center for Modeling and Analysis, Avenir Health, Glastonbury, CT, USA.
medRxiv : the preprint server for health sciences
|June 4, 2025
概括
结核病 (TB) 传播的新数学模型可以帮助优化干预和资源. 该工具通过评估国家战略计划和指导基于证据的投资,有助于实现全球消除结核病目标.
科学领域:
- 流行病学 流行病学
- 数学建模的数学建模
- 公共卫生 公共卫生
背景情况:
- 结核病 (结核病) 仍然是全球主要的健康威胁,而世界卫生组织 (WHO) 消除结核病战略目标的进展受到资金和实施挑战的阻碍.
- 数学建模对于确定高影响力的干预措施和优化结核病控制工作中的资源配置至关重要.
- 现有的建模工具在政策制定和资源优化方面存在局限性,需要开发新的方法.
研究的目的:
- 开发一种新的全球结核病感染传播模型,为政策相关的应用程序增强功能.
- 解决现有模型中关于年龄特异动态,无症状结核病,耐药性,艾滋病毒状况,疫苗接种和护理途径的局限性.
- 为评估结核病干预措施的流行病学影响创建一个灵活和可适应的工具.
主要方法:
- 开发了一种新的全球结核病感染传播模型,包括特定年龄混合,无症状结核病,耐药性,艾滋病毒状态,新疫苗状态和公共/私人护理途径.
- 用贝叶斯自适应马尔科夫链蒙特卡洛 (MCMC) 方法对29个高负担国家的特定国家数据进行校准.
- 整合了目标人口 (TP) 组件,以使干预评估与世卫组织指导方针保持一致,并评估国家战略计划.
主要成果:
- 模型校准表明与29个高负担国家的历史结核病数据有很强的一致性.
- 印度尼西亚和尼日利亚的案例研究说明了该模型的实用性:印度尼西亚可以通过全面的干预措施实现2035年结核病终结目标,而尼日利亚的国家战略计划可以在2030年前显著减少结核病发病率和死亡率.
- 该模型确定了实现全球结核病终结目标所需的额外努力,强调了持续和加强干预的必要性.
结论:
- 增强型结核病模型提供了一个灵活的,与政策相关的框架,用于在国家和全球范围内评估结核病干预措施.
- 它的开源性质和与世卫组织建议一致,使其成为基于证据的决策的宝贵资源.
- 该模型支持对结核病控制的战略投资,尤其是在全球卫生预算下降的情况下至关重要.
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