疫苗接种行为和流行病在多层高阶网络上传播的结合动态
Zhishuang Wang1, Guoqiang Zeng1, Qian Yin1
1School of Electronics and Information Engineering, Wuyi University, Jiangmen 529020, China.
Entropy (Basel, Switzerland)
|February 27, 2026
概括
高级社会互动显著影响疫苗接种决策和流行病的传播. 纳入群体动态和不完美的疫苗疗效对于准确的流行病建模和有效的公共卫生战略至关重要.
科学领域:
- 流行病学 流行病学
- 网络科学 网络科学
- 数学生物学 数学生物学
- 公共卫生 公共卫生
背景情况:
- 疫苗接种行为和流行病的传播是相互交织的,受个人决策和社会互动的影响.
- 现有的模型往往忽略了来自群体互动的更高层次的社会影响,主要关注的是双对关系.
- 现实的疫苗接种策略必须考虑到疫苗的不完善有效性和疫苗失败的影响.
研究的目的:
- 在多层高级网络上开发一个结合疫苗接种和流行病传播模型.
- 研究更高阶社会互动对疫苗接种行为和流行病动态的影响.
- 分析疾病传播中的行为反应,网络结构和疫苗参数之间的相互作用.
主要方法:
- 关于简化综合体 (疫苗接种) 和物理接触网络 (流行病传播) 的结合动态模型的开发.
- 纳入不完美的疫苗疗效和混合疫苗接种策略,将成本效益分析与社会影响相结合.
- 通过对各种网络结构的数值模拟来分析流行病爆发值的推导和验证.
主要成果:
- 高级社会互动显著重塑疫苗接种行为和流行病流行率.
- 网络的异质性和不完美的疫苗疗效极大地影响了疫情爆发值和稳定状态感染水平.
- 模型的结果显示出明显的结构依赖对流行病动态的影响.
结论:
- 高阶相互作用对于准确建模流行病动态和疫苗接种行为至关重要.
- 现实的疫苗接种策略必须整合群体的社会影响,并考虑到疫苗的缺陷.
- 通过考虑复杂的社会结构,研究结果为设计更有效的疫苗接种策略提供了洞察力.
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