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Stability of a Delayed Stochastic Epidemic COVID-19 Model with Vaccination and with Differential Susceptibility
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作者 Modeste N’zi Boubacar Sidiki Kouyaté +1 位作者 Ilimidi Yattara Modibo Diarra 《Journal of Applied Mathematics and Physics》 2024年第2期509-532,共24页
In this paper, we treat the spread of COVID-19 using a delayed stochastic SVIRS (Susceptible, Infected, Recovered, Susceptible) epidemic model with a general incidence rate and differential susceptibility. We start wi... In this paper, we treat the spread of COVID-19 using a delayed stochastic SVIRS (Susceptible, Infected, Recovered, Susceptible) epidemic model with a general incidence rate and differential susceptibility. We start with a deterministic model, then add random perturbations on the contact rate using white noise to obtain a stochastic model. We first show that the delayed stochastic differential equation that describes the model has a unique global positive solution for any positive initial value. Under the condition R<sub>0</sub> ≤ 1, we prove the almost sure asymptotic stability of the disease-free equilibrium of the model. 展开更多
关键词 sirs delayed Epidemic model Nonlinear Incidence rate Lyapunov Function Asymptotic Stability in Probability
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