AN SIR EPIDEMIC MODEL ON A POPULATION WITH RANDOM NETWORK AND HOUSEHOLD STRUCTURE, AND SEVERAL TYPES OF INDIVIDUALS

被引:21
作者
Ball, Frank [1 ]
Sirl, David [1 ]
机构
[1] Univ Nottingham, Sch Math Sci, Nottingham NG7 2RD, England
基金
英国工程与自然科学研究理事会;
关键词
Coupling; final outcome; households; local and global contacts; multitype branching process; multitype epidemic process; multitype random graph; threshold theorem; RANDOM GRAPHS; DISEASE; SPREAD;
D O I
10.1239/aap/1331216645
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
070103 [概率论与数理统计]; 140311 [社会设计与社会创新];
摘要
We consider a stochastic SIR (susceptible -> infective -> removed) epidemic model with several types of individuals. Infectious individuals can make infectious contacts on two levels, within their own 'household' and with their neighbours in a random graph representing additional social contacts. This random graph is an extension of the well-known configuration model to allow for several types of individuals. We give a strong approximation theorem which leads to a threshold theorem for the epidemic model and a method for calculating the probability of a major outbreak given few initial infectives. A multitype analogue of a theorem of Ball, Sirl and Trapman (2009) heuristically motivates a method for calculating the expected size of such a major outbreak. We also consider vaccination and give some short numerical illustrations of our results.
引用
收藏
页码:63 / 86
页数:24
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