无标度网络上分片线性传染力与免疫作用下的流行病动力学
DOI:
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

基金项目:

国家自然科学基金资助项目(10672146)


Epidemic dynamics of SIR model with piecewise linear infectivity and immunizations on scalefree networks
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    本文研究了含有免疫作用的易感染者-感染者-移出者传染病模型(即SIR模型)在复杂网络上的动力学行为,讨论了免疫作用对疾病传播的影响.当接种比例大于零时,传染率需要跨越更大的传染临界值疾病才能流行,且随着时间的增大传染临界值也增大.所以通过接种疫苗确实可以起到预防和控制疾病在复杂网络上传播的作用.具体讨论了具有分片线性传染力的SIR模型在无标度网络上的流行病传播阈值,并运用分片线性传染力得到了传播阈值为正的条件.接着分析了各种免疫策略的SIR模型,得出各类免疫后的传播阈值,并进行了数值模拟和比较.在相同的免

    Abstract:

    The Susceptible-Infected-Removed (SIR) model's epidemic dynamics on complex networks with immunizations were studied, and the effects of immunizations on the spread of epidemic were discussed. When vaccinal ratio is greater than zero, the critical infection value becomes greater with the time increasing. Therefore vaccination can indeed prevent and control the spreading of diseases on complex networks. In further details, this paper discussed the epidemic threshold for disease spreading using SIR model with piecewise linear infectivity on scale-free networks. And with this nonlinear infectivity,the conditions for positive epidemic threshold were derived. Then various immunization strategies for the SIR model and the corresponding thresholds were discussed. Numerical simulations and comparisons show that the targeted immunization is more effective than random immunization, acquaintance immunization and active immunization strategies.

    参考文献
    相似文献
    引证文献
引用本文

邵英英,刘孟,傅新楚.无标度网络上分片线性传染力与免疫作用下的流行病动力学[J].动力学与控制学报,2009,7(3):264~269; Shao Yingying, Liu Meng, Fu Xinchu. Epidemic dynamics of SIR model with piecewise linear infectivity and immunizations on scalefree networks[J]. Journal of Dynamics and Control,2009,7(3):264-269.

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2008-07-28
  • 最后修改日期:2008-12-16
  • 录用日期:
  • 在线发布日期:
  • 出版日期:

微信公众号二维码

手机版网站二维码