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 Vni={vni,j;j=1,2,…,n}, at the points of independent Poisson processes with rates λnG and λnL, respectively, throughout an infectious period that follows an arbitrary but specified distribution. The population initially comprises mn infectives and n−mn 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 vni,j=vn(i−j)modn.
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