行为态度和疾病传播在多层简单复合体上的共同进化
Fanshu Fang1,2, Jing Ma1, Liubov Tupikina3,4,5
1College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 211101, China.
Chaos (Woodbury, N.Y.)
|June 25, 2025
概括
这项研究使用更高阶相互作用和环境因素来模拟疾病的传播. 环境卫生和公共卫生意识是减轻流行病的关键.
科学领域:
- 流行病学 流行病学
- 网络科学 网络科学
- 数学建模的数学建模
背景情况:
- 全球公共卫生紧急情况的频率越来越高.
- 高级相互作用和环境因素在疾病传播中的重要性越来越大.
研究的目的:
- 提出使用简化复合体的多层高阶模型.
- 将间接接触的环境感染率纳入其中.
- 探索个体行为态度转变与疾病传播之间的相互作用.
主要方法:
- 基于简化复合体的多层高阶模型的开发.
- 环境感染率的整合.
- 应用微观马尔科夫链方法来推导关键传输值.
主要成果:
- 与巴拉巴西-阿尔伯特网络相比,埃尔多斯-雷尼网络显示出更快的感染密度增加和更早的和.
- 增加过渡到积极态度的概率会减少感染密度;减少过渡会增加感染密度.
- 较高的环境感染率提高了感染密度和延迟变化,减少了网络拓的影响.
结论:
- 环境卫生,包括清洁和消毒,对于减轻流行病的危害至关重要.
- 促进意识和积极的预防行为的公共卫生运动至关重要.
- 环境因素显著影响疾病传播动态,往往超过网络结构.
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