Stability and bifurcation for a multiple-group model for the dynamics of HIV/AIDS transmission
SIAM Journal on Applied Mathematics
Numerical simulation of stochastic ordinary differential equations in biomathematical modelling
Mathematics and Computers in Simulation
Asymptotic Properties of Hybrid Diffusion Systems
SIAM Journal on Control and Optimization
Qualitative analysis of a stochastic ratio-dependent predator-prey system
Journal of Computational and Applied Mathematics
Sex ratio features of two-group SIR model for asymmetrie transmission of heterosexual disease
Mathematical and Computer Modelling: An International Journal
Automatica (Journal of IFAC)
Hi-index | 22.15 |
In this paper, we introduce stochasticity into a multigroup SIR (susceptible, infective, and recovered) model. The stochasticity in the model is introduced by parameter perturbation, which is a standard technique in stochastic population modeling. In the deterministic models, the basic reproduction number R"0 is a threshold which completely determines the persistence or extinction of the disease. We carry out a detailed analysis on the asymptotic behavior of the stochastic model, also regarding of the value of R"0. If R"0@?1, the solution of the model is oscillating around a steady state, which is the disease-free equilibrium of the corresponding deterministic model, whereas, if R"01, there is a stationary distribution, which means that the disease will prevail.