2011
DOI: 10.1016/j.mcm.2011.02.004
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Asymptotic behavior of global positive solution to a stochastic SIR model

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Cited by 164 publications
(90 citation statements)
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“…According to the similar arguments in [5], we know that system (1) has a unique global positive solution for any (S(0), I(0), R(0)) ∈ R 3 + . In the following result we determine the threshold for the disease to occur.…”
Section: Extinction and Persistence Of The Diseasementioning
confidence: 93%
“…According to the similar arguments in [5], we know that system (1) has a unique global positive solution for any (S(0), I(0), R(0)) ∈ R 3 + . In the following result we determine the threshold for the disease to occur.…”
Section: Extinction and Persistence Of The Diseasementioning
confidence: 93%
“…Remark 1 One of the most important quantities in epidemiology is the basic reproduction number R 0 , expected number of secondary infections produced when one infected individual entered a fully susceptible population [14]. It determines whether there is an epidemic or not.…”
Section: Global Stochastic Asymptotic Stability Of Disease Free Equilmentioning
confidence: 99%
“…Since the local Lipschitz-continuous functions F i are arbitrary we have a family of stochastic SIR model. Similar models with specific diffusion terms are discussed in [1,2,4,[6][7][8][9][10][12][13][14]16,17,21].…”
Section: Introductionmentioning
confidence: 99%
“…Note that the existence of positive solution of system (1.3) can be obtain by [20], because the independence of B 1 and B 2 plays an unimportant role in the proof. However, the idea in [9], [10], [29] to acquire the asymptotic behavior of system (1.2) is unavailable for system (1.4) because the Fokker−Planck equation corresponding to system (1.4) is of degenerate type. In this paper, one of our aims is to study the stationary distribution of system (1.4) by applying Markov semigroup theory ( [13], [14], [16], [17], [23], [24]) which is different from the idea in [8] and [30].…”
Section: Introductionmentioning
confidence: 99%