Approximation of epidemics by inhomogeneous birth-and-death processes
This paper is concerned with the approximation of a class of open population epidemic models by time-inhomogeneous birth-and-death processes. In particular, we consider models in which the population of susceptibles behaves in the absence of infection as a general branching process. It is shown that for a large initial number of susceptibles, the process of infectives behaves approximately as a time-inhomogeneous birth-and-death process. Strong convergence results are obtained over an increasing sequence of time intervals [0,tN], where N is the initial number of susceptibles and tN-->[infinity] as N-->[infinity].
Year of publication: |
1998
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Authors: | Clancy, Damian ; O'Neill, Philip |
Published in: |
Stochastic Processes and their Applications. - Elsevier, ISSN 0304-4149. - Vol. 73.1998, 2, p. 233-245
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Publisher: |
Elsevier |
Keywords: | Epidemic Coupling Birth-and-death process Inhomogeneous birth-and-death process General branching process |
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