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A primer on stochastic epidemic models: Formulation, numerical simulation, and analysis
1Department of Mathematics and Statistics, Texas Tech University, Lubbock, TX 79409-1042, USA.
Abstract:
Some mathematical methods for formulation and numerical simulation of stochastic epidemic models are presented. Specifically, models are formulated for continuous-time Markov chains and stochastic differential equations. Some well-known examples are used for illustration such as an SIR epidemic model and a host-vector malaria model. Analytical methods for approximating the probability of a disease outbreak are also discussed.
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