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Analysis of stochastic vector-host epidemic model with direct transmission
Author(s) -
Yanzhao Cao,
Dawit Denu
Publication year - 2016
Publication title -
discrete and continuous dynamical systems - b
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.864
H-Index - 53
eISSN - 1553-524X
pISSN - 1531-3492
DOI - 10.3934/dcdsb.2016039
Subject(s) - extinction (optical mineralogy) , epidemic model , stochastic differential equation , stochastic modelling , mathematics , basic reproduction number , host (biology) , stability (learning theory) , transmission (telecommunications) , statistical physics , mathematical optimization , computer science , physics , biology , statistics , population , ecology , demography , telecommunications , machine learning , sociology , optics
In this paper, we consider the stochastic vector-host epidemic model with direct transmission. First, we study the existence of a positive global solution and stochastic boundedness of the system of stochastic differential equations which describes the model. Then we introduce the basic reproductive number $\mathcal{R}^s_0$ in the stochastic model, which reflects the deterministic counterpart, and investigate the dynamics of the stochastic epidemic model when $\mathcal{R}^s_0 1$. In particular, we show that random effects may lead to extinction in the stochastic case while the deterministic model predicts persistence. Additionally, we provide conditions for the extinction of the infection and stochastic stability of the solution. Finally, numerical simulations are presented to illustrate some of the theoretical results.

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