Diffusion Approximation of Stochastic SIR Epidemic Model

D. Kiouach *

MSTI Laboratory, High School of Technology, Ibn Zohr University, Agadir, Morocco.

*Author to whom correspondence should be addressed.


Abstract

In this work we consider the general stochastic SIR (Susceptible - Infected - Removed) epidemic model with the transition intensity q(S,I),(S−1,I+1) = βg(S)I, where g(x) is a function density dependent. An approximation of the final size by a diffusion process is given. Finally, I introduce some numerical simulation graphics to illustrate the main result.

Keywords: Epidemic model, Final size, SIR, Stochastic model, Markov process, Density dependent, Diffusion approximation.


How to Cite

Kiouach, D. 2014. “Diffusion Approximation of Stochastic SIR Epidemic Model”. Journal of Advances in Mathematics and Computer Science 6 (3):165-71. https://doi.org/10.9734/BJMCS/2015/14808.

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