行为可观察性和社会证明对多重网络中结合的流行病意识动态的影响
Huayan Pei1, Huanmin Wang2, Guanghui Yan1
1School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou, Gansu, China.
PloS one
|July 23, 2024
概括
这项研究引入了一个新的模型,以了解如何观察他人.
科学领域:
- 流行病学 流行病学
- 网络科学 网络科学
- 计算社会科学 计算社会科学
背景情况:
- 流行病的传播受个人意识和网络结构的影响.
- 观察保护行为和社会证明对流行病动态的影响仍未得到充分探索.
- 现有的模型往往忽视了个人决策是如何被邻居的行为和这些行为的可见性所塑造的.
研究的目的:
- 提出和分析一种新的易受感染-康复 (SIR) 模型,该模型将行为可观察性和社会证明集成到流行病动态中.
- 调查保护行动和社会证明的可观察性如何影响多重网络中流行病的流行和传播.
- 通过分析推导出流行病值,并探索有效抑制疾病的条件.
主要方法:
- 开发一个无意识-无意识-保护性行动-无意识 (UAPU) -SIR模型,扩展无意识-无意识-无意识 (UAU) 框架.
- 引入"采取保护措施"状态,以代表采取预防措施的个人.
- 使用微观马尔科夫链方法 (MMCA) 来分析流行病值的推导.
主要成果:
- 保护性行为和社会证明的可观察性都显著降低了流行病的流行率.
- 这些因素也有助于提高流行病门,表明对疫情的抵抗力更大.
- 加快信息传播只会在保护行动的可观性超过关键水平时抑制疾病传播并提高流行病值.
- 减少个人忘记信息的速度有效地减少了总体的流行病规模.
结论:
- 行为可观察性和社会证明是调节流行病在网络中传播的关键因素.
- 信息传播在控制流行病方面的有效性取决于保护性行动的可见性.
- 模型洞察力为设计利用社会动态来缓解疾病传播的公共卫生干预提供了基础.
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