Abstract
This paper is concerned with a stochastic model for the spread of an epidemic among a population of n individuals, labeled 1, 2,..., n, in which a typical infected individual, i say, makes global contacts, with individuals chosen independently and uniformly from the whole population, and local contacts, with individuals chosen independently according to the contact distribution V i n = {v i, j n; j = 1, 2,..., n}, at the points of independent Poisson processes with rates λ G n and λ L n, respectively, throughout an infectious period that follows an arbitrary but specified distribution. The population initially comprises m n infectives and n - m n susceptibles. A sufficient condition is derived for the number of individuals who survive the epidemic to converge weakly to a Poisson distribution as n → ∞. The result is specialized to the households model, in which the population is partitioned into households and local contacts are chosen uniformly within an infective's household; the overlapping groups model, in which the population is partitioned in several ways and local mixing is uniform within the elements of the partitions; and the great circle model, in which v i,j n= v (i-j)mod n n.
| Original language | English |
|---|---|
| Pages (from-to) | 1168-1200 |
| Number of pages | 32 |
| Journal | Annals of Probability |
| Volume | 32 |
| Issue number | 1 B |
| DOIs | |
| Publication status | Published - Jan 2004 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Coupling
- Epidemic models
- Local and global mixing
- Poisson convergence
- Positively related
- Random graph
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