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Ekanayake, A.J. and Allen, L.J.S. (2010) Comparison of Markov Chain and Stochastic Differential Equation Population Models Under Higher-Order Moment Closure Approximations. Stochastic Analysis and Applications, 28, 907-927.
http://dx.doi.org/10.1080/07362990903415882

has been cited by the following article:

• TITLE: A Stochastic SIVS Epidemic Model Based on Birth and Death Process

  AUTHORS: Lin Zhu, Tiansi Zhang

  KEYWORDS: Epidemic Model, Vaccination, Continuous Time Markov Chain, Birth and Death Process, Stochastic Differential Equations

  JOURNAL NAME: Journal of Applied Mathematics and Physics, Vol.4 No.9, September 29, 2016

  ABSTRACT: A new stochastic epidemic model, that is, a general continuous time birth and death chain model, is formulated based on a deterministic model including vaccination. We use continuous time Markov chain to construct the birth and death process. Through the Kolmogorov forward equation and the theory of moment generating function, the corresponding population expectations are studied. The theoretical result of the stochastic model and deterministic version is also given. Finally, numerical simulations are carried out to substantiate the theoretical results of random walk.