延迟谣言传播模型的稳定性分析,具有非线性发病率,包括冲动疫苗接种
Yuqian Zhou1, Haijun Jiang1,2, Xupeng Luo3
1College of Mathematics and System Sciences, Xinjiang University, Urumqi 830017, China.
Entropy (Basel, Switzerland)
|December 23, 2023
概括
定期的普及科学教育作为一种冲动性干预来打击信息不对称和谣言传播. 这项研究引入了一种新型模型,证明及时干预,如
科学领域:
- 数学建模的数学建模
- 流行病学 流行病学
- 信息科学 信息科学
背景情况:
- 信息不对称性助长了公众的怀疑和谣言的传播.
- 有效的科学教育对于知情决策至关重要.
- 流行科学教育可以作为对错误信息的定期干预.
研究的目的:
- 提出一种易受-犹-感染-反驳-恢复 (SHIDR) 的谣言传播模型.
- 用冲动微分方程分析谣言传播动态.
- 为了确定有效的策略,以抑制谣言.
主要方法:
- 开发了一个SHIDR传闻传播模型,时间延迟和反驳个人.
- 应用了冲动微分方程的比较定理来确定谣言值.
- 分析了无谣言状态的全球稳定性和谣言持久性的条件.
- 进行数值模拟以验证理论发现.
主要成果:
- 计算了控制谣言传播的两个关键值.
- 确定了无谣言周期性溶液对全球吸引力的条件.
- 确定了谣言在人口中持续存在的条件.
- 证实,增加"冲动性疫苗接种"和减少冲动期可以抑制谣言.
结论:
- 该SHIDR模型有效地捕捉了谣言动态.
- 定期干预,类似于"冲动接种疫苗",对于控制谣言至关重要.
- 优化干预时间和持续时间可以显著减轻谣言的传播.
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