Abstract
The development of an epidemiological model of rinderpest in cattle and wildlife populations is described. The model uses a state-transition structure, incorporating a stochastic element through the use of Monte-Carlo methods modified to allow large populations to be simulated. The potential applications include the estimation of "safe" host population immunity rates and the design of cost-effective rinderpest vaccination programmes.
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