在分量扩散SIS流行病模型中的时空空间动态,具有质量作用感染机制
Peng Shi1, Wan-Tong Li2, Fei-Ying Yang1
1School of Mathematics and Statistics, Lanzhou University, Lanzhou, 730000, Gansu, China.
限制易受感染的移动可以根除疾病,而控制感染的流动可能不会在分数扩散SIS模型中. 这项研究揭示了关于流行病动态和控制策略的反直觉发现.
科学领域:
- 流行病学 流行病学
- 数学生物学 数学生物学
- 动态系统 动态系统
背景情况:
- 易受感染-易受感染 (SIS) 模型对于了解疾病传播至关重要.
- 分数计算为模拟生物系统中的扩散和记忆效应提供了一种更细致的方法.
- 时空动态对于了解疾病如何在地理上和随时间传播至关重要.
研究的目的:
- 分析分量扩散SIS流行病模型的时空动态.
- 调查无病和特有平衡的存在和稳定性.
- 探索扩散率和部分权力对疾病传播的影响.
主要方法:
- 分数局部微分方程的分析.
- 使用稳定性理论研究平衡.
- 对小型和大型扩散速率进行非对称分析.
主要成果:
- 建立了无病和特有平衡的存在和稳定的条件.
- 在不同扩散速率和分数顺序下,描述了特有平衡的非对称行为.
- 确定了与疾病控制策略有关的反直觉发现.
结论:
- 通过控制受感染个体的移动,无法保证疾病的根除.
- 限制易感个体的运动可能会导致疾病消失.
- 分数扩散显著影响流行病动态和控制结果.
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