中国广东省肺结核传播的环境驱动因素:整合通用添加模型和动态模拟
Lingming Kong1, Yanying Mo1, Guanghu Zhu2
1School of Mathematics and Computing Science, Guangxi Colleges and Universities Key Laboratory of Data Analysis and Computation, Guilin University of Electronic Technology, Guilin, Guangxi, 541004, China.
这项研究显示,空气污染和假期对广东的结核病传播有重大影响. 减少空气污染物和准复发预防是控制结核病传播的关键.
科学领域:
- 流行病学 流行病学
- 数学建模的数学建模
- 环境健康 环境健康
背景情况:
- 结核病 (TB) 构成了严重的全球健康威胁,特别是在中国广东省等高负担地区.
- 了解环境和社会经济因素的复杂相互作用对于有效的结核病控制至关重要.
研究的目的:
- 开发一个综合框架,结合通用添加模型 (GAM) 和非自主动态建模来分析结核病传播动态.
- 量化环境 (空气质量,湿度) 和社会经济因素 (假期) 对广东结核病发病率的协同效应.
主要方法:
- 使用了每周结核病例数据,空气质量指数 (AQI),绝对湿度 (AH) 和假日指标 (2014-2019).
- 采用GAM来评估环境暴露和假期对结核病发病率的非线性,滞后的影响.
- 将时间变化的参数集成到非自主SEIR模型中进行动态分析.
主要成果:
- 增加的AQI (增加10个单位) 与结核病风险增加3.8%相关;AH显示了负面的监管效应.
- 假期将结核病例的波动放大了37%,假期后的反弹达到68%.
- 基本繁殖数 (R0) 估计为1.9,表明流行性持久性;感染率和复发概率是关键驱动因素.
结论:
- 混合建模方法为优化结核病干预策略提供了定量工具.
- 建议包括减少空气中的污染物,加强监测,专注于预防复发.
- 该模型预测长期下降趋势,但在广东省结核病的冬季-春季季节性持续.
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