从年龄分层的监测数据估计登革热感染的力量在爪,印度尼西亚,印度尼西亚
Bimandra Djaafara1,2, Iqbal R F Elyazar2,3, Asik Surya4
1Saw Swee Hock School of Public Health, National University of Singapore, Singapore.
Journal of the Royal Society, Interface
|November 25, 2025
概括
估计登革热传播强度对于有效干预至关重要. 这项研究引入了一种新的统计模型,使用例行监测数据来估计感染力 (FOI),为传统调查提供了更容易获得的替代方案.
科学领域:
- 流行病学 流行病学
- 生物统计学 生物统计学
- 传染病建模 传染病建模
背景情况:
- 准确估计登革热传播强度和人口免疫力对于有针对性的本地干预至关重要.
- 估计感染力 (FOI) 的传统方法是传播的关键措施,依赖于昂贵的血清流行调查.
- 常规的年龄分层监控数据为估计自由信息提供了一个潜在的更容易获得的数据源.
研究的目的:
- 开发和验证使用常规监控数据估计 FOI 的层次建模方法.
- 在估计登革热传播时,比较分层模型与非分层方法的性能.
- 评估该模型在为当地登革热干预策略提供信息方面的有用性.
主要方法:
- 开发了催化模型的层次延伸,以从常规的年龄分层监测数据中估计FOI.
- 在各省的各个地区实施了部分信息共享.
- 将模型应用于印尼雅加达和西爪的登革热监测数据,并与非等级模型和2014年血清流行数据进行比较.
- 利用预期日志点向预测密度进行模型比较,并评估过度分散的负二项式概率的影响.
主要成果:
- 层次模型和非层次模型都产生了与现有的血清流行数据一致的FOI估计.
- 层次框架显示了更强大的估计,特别是在不同的数据可用性下,通过部分聚合.
- 通过使用负二项概率来计算过度分散,无论层次结构如何,模型性能都得到了改进.
- 在雅加达和西爪之间观察到明显的报告参数模式,雅加达显示出更高的报告率,尽管FOI较低.
结论:
- 开发的等级模型有效地使用例行监测数据估计了FOI,为当地登革热传播评估提供了有价值的工具.
- 虽然提供了稳健性,但层次方法需要仔细考虑年龄分层和地区特定模式的潜在掩盖,如果流行病学概况在聚合集群中显著不同.
- 了解当地的登革热流行病学对于适当实施等级框架至关重要,以避免由于不适当的地区聚类导致的不准确估计.
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