Abstract
In this paper we analyse a stochastic model representing HIV internal virus dynamics. The stochasticity in the model is introduced by parameter perturbation which is a standard technique in stochastic population modelling. We show that the model established in this paper possesses non-negative solutions as this is essential in any population dynamics
model. We also carry out analysis on the asymptotic behaviour of the model. We approximate one of the variables by a mean reverting process and nd out the mean and variance of this process. Numerical simulations conclude the paper.
| Original language | English |
|---|---|
| Pages (from-to) | 1084-1101 |
| Number of pages | 18 |
| Journal | Journal of Mathematical Analysis and Applications |
| Volume | 341 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 15 May 2008 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- HIV virus dynamics
- brownian motion
- stochastic differentialequation
- asymptotic behaviour
- mean reverting process
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