THE SI AND SIR EPIDEMICS ON GENERAL NETWORKS

被引:1
|
作者
Aldous, David [1 ]
机构
[1] Univ Calif Berkeley, Dept Stat, 367 Evans Hall 3860, Berkeley, CA 94720 USA
来源
关键词
SI epidemic; SIR epidemic;
D O I
10.19195/0208-4147.37.2.2
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
Intuitively one expects that for any plausible parametric epidemic model, there will be some region in parameter-space where the epidemic affects (with high probability) only a small proportion of a large population, another region where it affects (with high probability) a non-negligible proportion, with a lower-dimensional "critical" interface. This dichotomy is certainly true in well-studied specific models, but we know of no very general results. A recent result stated for a bond percolation model can be restated as giving weak conditions under which the dichotomy holds for an SI epidemic model on arbitrary finite networks. This result suggests a conjecture for more complex and more realistic SIR epidemic models, and the purpose of this article** is to record the conjecture.
引用
收藏
页码:229 / 234
页数:6
相关论文
共 50 条