The final outcome and temporal solution of a carrier-borne epidemic model

Frank Ball, Damian Clancy

Research output: Contribution to journalArticle

Abstract

We consider a stochastic model for the spread of a carrier-borne epidemic amongst a closed homogeneously mixing population, in which a proportion of 1 - pi of infected susceptibles are directly removed and play no part in spreading the infection. The remaining proportion pi become carriers, with an infectious period that follows an arbitrary but specified distribution. We give a construction of the epidemic process which directly exploits its probabilistic structure and use it to derive the exact joint distribution of the final size and severity of the carrier-borne epidemic, distinguishing between removed carriers and directly removed individuals. We express these results in terms of Gontcharoff polynomials. When the infectious period follows an exponential distribution, our model reduces to that of Downton (1968), for which we use our construction to derive an explicit expression for the time-dependent state probabilities.
Original languageEnglish
Pages (from-to)304-315
Number of pages12
JournalJournal of Applied Probability
Volume32
DOIs
Publication statusPublished - 1995

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