基于行为游戏理论的传染病模型和分析,在媒体报道下的双层网络上进行传染病模型和分析
Jianrong Wang1, Rong Zeng2, Xinghua Chang3
1School of Automation and Software Engineering, Shanxi University, Taiyuan, China.
PloS one
|May 20, 2025
概括
本研究介绍了一种游戏理论模型,用于在双层网络上传播传染病. 降低成本和增加信息获取可以有效地提高疾病爆发门.
科学领域:
- 流行病学 流行病学
- 网络科学 网络科学
- 行为经济学是一种行为经济学.
背景情况:
- 传染病的传播对公众健康和经济构成重大威胁.
- 个人对控制措施的坚持受到成本,收益和社会因素的影响,尽管政府干预.
- 现有的模型往往忽略了个体行为和疾病动态之间的相互作用.
研究的目的:
- 开发一种新的传染病模型,在双层网络上整合行为游戏理论.
- 分析个人意识,保护行为和政府干预对疾病传播的影响.
- 确定影响疾病传播值的关键参数.
主要方法:
- 构建了一个两层联网模型:一个用于个人行为意识 (游戏层),一个用于疾病传播 (传播层).
- 应用游戏理论,以基于成本,收益和社会影响的保护行为为个人决策模型.
- 纳入政府干预的门模型来控制个人保护行为.
- 使用马尔科夫数据链分析 (MMCA) 来分析疾病传播值和人口状态.
主要成果:
- 证明,降低个人防护成本可以显著提高疾病爆发门.
- 表明,加强个人对疾病信息的关注有效地提高了疫情的门.
- 发现适应性政府干预,适应疾病传播,对于控制传播至关重要.
- 量化了模型参数 (成本,信息,干预) 与最终人口状态之间的关系.
结论:
- 拟议的行为游戏理论模型为了解传染病动态提供了一个强大的框架.
- 专注于降低个人成本,改善信息传播和适应性治理的战略可以有效地缓解疾病的传播.
- 研究结果为公共卫生政策和干预设计提供了有价值的见解,以提高社会对流行病的抵抗力.
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