一种新的方法来量化降雨对载体传播疾病的最佳范围和因果关系:登革热流行病的案例研究
Yan Liu1, Xia Wang2, Biao Tang1,3
1School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, Shaanxi 710049, People's Republic of China.
Journal of the Royal Society, Interface
|June 24, 2025
概括
最佳降雨量显著影响登革热爆发. 研究人员开发了一种新的指数来量化降雨量.
科学领域:
- 环境科学 环境科学
- 流行病学 流行病学
- 数学生物学 数学生物学
背景情况:
- 降雨和登革热爆发之间的关系还不清楚.
- 降雨对蚊子种群动态和疾病传播的作用经常被低估.
- 准确量化降雨影响对于有效控制登革热至关重要.
研究的目的:
- 为了确定广州蚊子发展的最佳降雨范围.
- 开发一种新的降雨指数,用于量化登革热负担.
- 评估登革热疫情中降雨,温度和进口病例的相互作用.
主要方法:
- 开发了一个动态模型,以确定蚊子种群的最佳降雨范围.
- 利用分布式滞后非线性模型和障碍规范化模型.
- 采用了来自广州的蚊子监测和气象数据.
- 使用2006年至2013年的登革热病例数据验证了该模型,以预测2014-2015年的疫情.
主要成果:
- 确定了一个最佳的每周降雨范围为131.2-212.8毫米,以促进蚊子的发展.
- 引入了一种新的降雨指数,与现有指数相比,该指数在模型拟合和预测准确性方面表现出卓越的表现.
- 通过模拟场景变化,证明降雨显著影响登革热爆发的严重程度,超过温度或进口病例.
结论:
- 降雨在塑造广州登革热爆发的动态方面发挥着主导作用.
- 开发的降雨指数和建模框架为预测和管理登革热流行病提供了宝贵的工具.
- 该方法可以适应在其他容易感染登革热的地区的应用.
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