Dynamics and optimal control of a stochastic coronavirus (COVID-19) epidemic model with diffusion

Volume: 109, Issue: 1, Pages: 91 - 120
Published: Nov 17, 2021
Abstract
In view of the facts in the infection and propagation of COVID-19, a stochastic reaction–diffusion epidemic model is presented to analyse and control this infectious diseases. Stationary distribution and Turing instability of this model are discussed for deriving the sufficient criteria for the persistence and extinction of disease. Furthermore, the amplitude equations are derived by using Taylor series expansion and weakly nonlinear analysis,...
Paper Details
Title
Dynamics and optimal control of a stochastic coronavirus (COVID-19) epidemic model with diffusion
Published Date
Nov 17, 2021
Volume
109
Issue
1
Pages
91 - 120
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