监测传染病在时间变化的多重网络上传播
Jinyi Hu1,2, Haoyue Zheng2,3, Yunyi Cai2,3
1Sichuan University-Pittsburgh Institute, Sichuan University, Chengdu, China.
Infectious Disease Modelling
|November 24, 2025
概括
有效的传染病监测需要了解复杂的接触网络. 这项研究表明,虽然连接最多的节点是早期检测的理想选择,但频繁接触策略为实时流行病监测提供了切实可行的替代方案.
科学领域:
- 流行病学 流行病学
- 网络科学 网络科学
- 计算生物学 计算生物学
背景情况:
- 传染病监测依赖于早期检测和干预.
- 当前的模型经常使用静态的,单层网络,限制了现实世界的适用性.
- 现实世界的接触模式是动态的和多重的,显著影响疾病的传播.
研究的目的:
- 开发一种在时间变化的多重网络上传播疾病的建模框架.
- 评估节点选择策略,以优化流行病监测.
- 评估网络结构信息对监管有效性的影响.
主要方法:
- 提出了在时间变化的多重网络上传播疾病的建模框架.
- 评估了五个节点选择策略:最连接,随机,随机的朋友,最近的联系人和最频繁的联系人.
- 使用了三个指标:早期预警,峰值时间和峰值比率在聚合,单层和合网络场景中.
主要成果:
- "最连接"战略在所有指标和场景中表现最好,但往往不切实际.
- 结合网络上的"频繁接触"策略提供了具有可比性能的实用替代方案.
- 敏感性分析证实了这些发现的可靠性.
结论:
- 考虑网络多重性和时间动态对于有效的监控设计至关重要.
- 结合网络上的"频繁接触"策略是一种可行的方法,用于在流行病监测中放置哨兵.
- 这些发现为优化实时传染病监测系统提供了指导.
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