Projects per year
Abstract
In this paper, we introduce two perturbations in the classical deterministic susceptible–infected–susceptible epidemic model. Greenhalgh and Gray [4] in 2011 use a perturbation on β in SIS model. Based on their previous work, we consider another perturbation on the parameter μ+ γ and formulate the original model as a stochastic differential equation (SDE) with two independent Brownian Motions for the number of infected population. We then prove that our Model has a unique and bounded global solution I ( t ) . Also we establish conditions for extinction and persistence of the infected population I ( t ) . Under the conditions of persistence, we show that there is a unique stationary distribution and derive its mean and variance. Computer simulations illustrate our results and provide evidence to back up our theory.
| Original language | English |
|---|---|
| Pages (from-to) | 1536-1550 |
| Number of pages | 15 |
| Journal | Journal of Mathematical Analysis and Applications |
| Volume | 474 |
| Issue number | 2 |
| Early online date | 13 Feb 2019 |
| DOIs | |
| Publication status | Published - 15 Jun 2019 |
Keywords
- SIS model
- independent Brownian motion
- extinction
- persistence
- stationary distribution
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Dive into the research topics of 'A stochastic differential equation SIS epidemic model with two independent Brownian motions'. Together they form a unique fingerprint.Projects
- 3 Finished
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Ergodicity and invariant measures of stochastic delay systems driven by various noises and their applications (Prof. Fuke Wu)
Mao, X. (Principal Investigator)
16/03/17 → 15/06/20
Project: Research Fellowship
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Long-time dynamics of numerical solutions of stochastic differential equations
Mao, X. (Principal Investigator)
1/10/16 → 30/09/21
Project: Research
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Numerical Analysis of Stochastic Differential Equations: New Challenges
Mao, X. (Principal Investigator)
1/10/15 → 30/09/17
Project: Research Fellowship