Stationary distribution and probability density function of a stochastic COVID-19 infections model with general incidence
L Niu, Q Chen, Z Teng, R Rifhat, G Zhang - Journal of the Franklin Institute, 2024 - Elsevier
L Niu, Q Chen, Z Teng, R Rifhat, G Zhang
Journal of the Franklin Institute, 2024•ElsevierWith the sudden outbreak of COVID-19 all over the world, vaccination was one of the most
effective treatments. In this paper, a stochastic COVID-19 model with vaccination is
developed. Firstly, we prove that the stochastic model has a unique global solution by
constructing the corresponding Lyapunov function. Then, sufficient condition for ergodic
stationary distribution υ (⋅) is provided under the condition R 0 s> 1. Moreover, by applying
the six-dimensional Fokker–Planck equation, we obtain the explicit expression of the …
effective treatments. In this paper, a stochastic COVID-19 model with vaccination is
developed. Firstly, we prove that the stochastic model has a unique global solution by
constructing the corresponding Lyapunov function. Then, sufficient condition for ergodic
stationary distribution υ (⋅) is provided under the condition R 0 s> 1. Moreover, by applying
the six-dimensional Fokker–Planck equation, we obtain the explicit expression of the …
With the sudden outbreak of COVID-19 all over the world, vaccination was one of the most effective treatments. In this paper, a stochastic COVID-19 model with vaccination is developed. Firstly, we prove that the stochastic model has a unique global solution by constructing the corresponding Lyapunov function. Then, sufficient condition for ergodic stationary distribution υ (⋅) is provided under the condition R 0 s> 1. Moreover, by applying the six-dimensional Fokker–Planck equation, we obtain the explicit expression of the probability density function near quasi-local equilibrium Q∗, which has the form of lognormal density function. Finally, numerical simulations are presented to verify the above conclusions.
Elsevier
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