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Tao Feng - One of the best experts on this subject based on the ideXlab platform.

  • global analysis of a vector host Epidemic Model in stochastic environments
    Journal of The Franklin Institute-engineering and Applied Mathematics, 2019
    Co-Authors: Tao Feng, Zhipeng Qiu, Yi Song
    Abstract:

    Abstract In this paper, a vector-host Epidemic Model is formulated from a classical deterministic framework to a stochastic differential equation. The Model incorporates the potential impact of the free pathogens as well as the random environment on disease dynamics. The dynamics of the vector-host Epidemic Model is analyzed for the deterministic and stochastic cases, respectively. In the deterministic case, the global dynamics of the system is determined by the criteria R 0 , i.e., if R 0 ≤ 1 the disease-free equilibrium is globally asymptotically stable; if R 0 > 1 the unique endemic equilibrium is globally asymptotically stable. In the stochastic case, the stochastic system admits a unique ergodic stationary distribution if R ˜ 0 > 1 , which indicates that the disease can be persistent in vivo. Finally, numerical simulations are conducted to verify these analytical results.

Weiming Wang - One of the best experts on this subject based on the ideXlab platform.

  • Traveling Wave Solutions in a Reaction-Diffusion Epidemic Model
    Abstract and Applied Analysis, 2013
    Co-Authors: Sheng Wang, Weiming Wang
    Abstract:

    We investigate the traveling wave solutions in a reaction-diffusion Epidemic Model. The existence of the wave solutions is derived through monotone iteration of a pair of classical upper and lower solutions. The traveling wave solutions are shown to be unique and strictly monotonic. Furthermore, we determine the critical minimal wave speed.

  • Stability analysis of an Epidemic Model with diffusion and stochastic perturbation
    Communications in Nonlinear Science and Numerical Simulation, 2012
    Co-Authors: Feng Rao, Weiming Wang
    Abstract:

    Abstract In this paper, we investigate the stability of an Epidemic Model with diffusion and stochastic perturbation. We first show both the local and global stability of the endemic equilibrium of the deterministic Epidemic Model by analyzing corresponding characteristic equation and Lyapunov function. Second, for the corresponding reaction–diffusion Epidemic Model, we present the conditions of the globally asymptotical stability of the endemic equilibrium. And we carry out the analytical study for the stochastic Model in details and find out the conditions for asymptotic stability of the endemic equilibrium in the mean sense. Furthermore, we perform a series of numerical simulations to illustrate our mathematical findings.

Yi Song - One of the best experts on this subject based on the ideXlab platform.

  • global analysis of a vector host Epidemic Model in stochastic environments
    Journal of The Franklin Institute-engineering and Applied Mathematics, 2019
    Co-Authors: Tao Feng, Zhipeng Qiu, Yi Song
    Abstract:

    Abstract In this paper, a vector-host Epidemic Model is formulated from a classical deterministic framework to a stochastic differential equation. The Model incorporates the potential impact of the free pathogens as well as the random environment on disease dynamics. The dynamics of the vector-host Epidemic Model is analyzed for the deterministic and stochastic cases, respectively. In the deterministic case, the global dynamics of the system is determined by the criteria R 0 , i.e., if R 0 ≤ 1 the disease-free equilibrium is globally asymptotically stable; if R 0 > 1 the unique endemic equilibrium is globally asymptotically stable. In the stochastic case, the stochastic system admits a unique ergodic stationary distribution if R ˜ 0 > 1 , which indicates that the disease can be persistent in vivo. Finally, numerical simulations are conducted to verify these analytical results.

Daqing Jiang - One of the best experts on this subject based on the ideXlab platform.

Kyle Zollovenecek - One of the best experts on this subject based on the ideXlab platform.