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人类的流动性和疾病流行率
Yuan Lou1, Rachidi B Salako2, Pengfei Song3,4
1School of Mathematical Sciences, CMA-Shanghai and MOE-LSC, Shanghai Jiao Tong University, Shanghai, 200240, China.
人类的流动性显著影响疾病的传播. 受感染个体相对于易受感染个体的移动增加可以降低整体患病率,但复杂的空间因素会影响流行病的严重程度.
科学领域:
- 流行病学 流行病学
- 数学生物学 数学生物学
- 公共卫生 公共卫生
背景情况:
- 人类的移动模式是影响传染病动态的关键因素.
- 了解人口流动和疾病患病率之间的相互作用对于有效的流行病控制至关重要.
研究的目的:
- 研究人类流动性 (以扩散率为模型) 与特有疾病流行率之间的定量关系.
- 分析疾病参数中的空间异质性如何影响这种关系.
主要方法:
- 利用扩散性流行病模型来研究受感染人口大小对扩散率的依赖.
- 采用理论分析和数值模拟来探索空间异质性的各种场景.
主要成果:
- 对于较小的扩散率,随着感染者与易感者的扩散比率的增加,总感染人口数量就会减少.
- 疾病参数的空间异质性导致扩散率和受感染人群大小之间的复杂,非单调的关系,根据参数的一致性,在中等或大扩散率的最佳情况.
结论:
- 人类的流动性,特别是扩散率,在塑造流行病结果方面发挥着关键作用.
- 疾病特征的空间分布显著调节了流动性对疾病患病率和严重性的影响.
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