C. Lefevre et S. Utev, MIXED POISSON APPROXIMATION IN THE COLLECTIVE EPIDEMIC MODEL, Stochastic processes and their applications, 69(2), 1997, pp. 217-246
The collective epidemic model is a quite flexible model that describes
the spread of an infectious disease of the Susceptible-Infected-Remov
ed type in a closed population. A statistic of great interest is the f
inal number of susceptibles who survive the disease. In the present pa
per, a necessary and sufficient condition is derived that guarantees t
he weak convergence of the law of this variable to a mixed Poisson dis
tribution when the initial susceptible population tends to infinity, p
rovided that the outbreak is severe in a certain sense. New ideas in t
he proof are the exploitation of a stochastic convex order relation an
d the use of a weak convergence theorem for products of i.i.d. random
variables. (C) 1997 Elsevier Science B.V.