Mixed Poisson approximation in the collective epidemic model
The collective epidemic model is a quite flexible model that describes the spread of an infectious disease of the Susceptible-Infected-Removed type in a closed population. A statistic of great interest is the final number of susceptibles who survive the disease. In the present paper, a necessary and sufficient condition is derived that guarantees the weak convergence of the law of this variable to a mixed Poisson distribution when the initial susceptible population tends to infinity, provided that the outbreak is severe in a certain sense. New ideas in the proof are the exploitation of a stochastic convex order relation and the use of a weak convergence theorem for products of i.i.d. random variables.
Year of publication: |
1997
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Authors: | Lefèvre, Claude ; Utev, Sergei |
Published in: |
Stochastic Processes and their Applications. - Elsevier, ISSN 0304-4149. - Vol. 69.1997, 2, p. 217-246
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Publisher: |
Elsevier |
Keywords: | Collective epidemic model Final susceptible state Generalized epidemic model Mixed Poisson approximation Infinitely divisible distribution Branching process Stochastic convex order Weak convergence of products of i.i.d. r.v.'s |
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