对异质的SEIRS补丁模型与不对称的移动性内核模型的分析.
Shuangshuang Yin1, Jianhong Wu2, Pengfei Song1,2
1School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an 710049, Shaanxi, China.
Mathematical biosciences and engineering : MBE
|July 28, 2023
概括
这项研究引入了一个空间SEIRS模型,揭示了暴露和康复个体的流动性显著影响疾病动态,与以前的模型不同,只关注易感和症状群体.
科学领域:
- 流行病学 流行病学
- 数学生物学 数学生物学
- 空间动力学空间动力学
背景情况:
- 空间流行病模型对于了解疾病传播至关重要.
- 之前的模型往往简化了移动模式.
- 人口流动中的异质性影响疾病传播.
研究的目的:
- 开发一个具有不对称的移动性核心的空间异质SEIRS补丁模型.
- 分析疾病传播的全球动态与基本生殖率 ($ \mathcal{R}_{0} $) 相比.
- 对所有疾病组件 (易感,暴露,感染,康复) 的移动性的影响进行调查.
主要方法:
- 建立一个空间异质的SEIRS补丁模型.
- 定义和分析基本的复制比率 ($ \mathcal{R}_{0} $).
- 调查全球动态和平衡的稳定性.
- 对 $ \mathcal{R}_{0} $ 关于扩散系数的单调性的分析.
- 探索长期行为,因为易感扩散接近零.
主要成果:
- 基本的复制比率 ($ \mathcal{R}_{0} $) 决定了全球动态.
- 具有扩散系数的 $ \mathcal{R}_{0} $ 的单调性取决于案例.
- 暴露和康复个体的流动性对疾病动态至关重要.
- 在特定条件下,特有平衡的长期行为具有特征.
结论:
- 所有个体的流动性,包括暴露和恢复的个体,对于准确的疾病建模至关重要.
- 空间异质性和不对称的移动性核心显著影响流行病的传播.
- 这项研究提供了更全面的了解疾病动态在空间结构化的群体.
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