通过进化游戏理论揭示了异质网络中疫情的复杂动态
Mohammad Sharif Ullah1, Jin Wang2
1Department of Mathematics, University of Tennessee at Chattanooga, Chattanooga, TN, 37403, USA. sharifju49@yahoo.com.
Scientific reports
|August 14, 2025
概括
了解麻疹 (mpox) 传播需要分析动物和人类传播动态. 进化游戏理论揭示了网络结构和个体行为如何影响疾病传播,识别超级传播者并告知控制策略.
科学领域:
- 流行病学 流行病学
- 进化游戏理论 进化游戏理论
- 网络科学 网络科学
背景情况:
- 动物传染病传播机制对于有效控制至关重要.
- 麻疹 (mpox) 构成了重大的公共卫生挑战,需要详细研究.
研究的目的:
- 用进化游戏理论分析 (mpox) 疫情动态.
- 研究网络结构和个人行为对人类和动物疾病传播的影响.
主要方法:
- 采用了一个进化的游戏理论框架.
- 分析的疾病在无和随机的正规网络中传播.
- 在人类和动物群体中研究了四种网络设置 (BA-BA,ER-ER,BA-ER,ER-BA).
主要成果:
- 确定了超级传播者的出现.
- 证明了网络结构对疾病持续性和传播的影响.
- 揭示了MOPOX疫情动态中的复杂模式.
结论:
- 这项研究提供了一种实际的方法来理解mpox的空间和时间扩张.
- 强调多学科方法对传染病动态的重要性.
- 报告了针对公共卫生响应的有针对性的干预策略的有效性.
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