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Numerical simulation and stability analysis of a novel reaction–diffusion COVID-19 model
by
Elsonbaty, Amr
, Raza, Ali
, Adel, Waleed
, Ahmed, Nauman
, Rafiq, Muhammad
in
Automotive Engineering
/ Classical Mechanics
/ Control
/ Coronaviruses
/ COVID-19
/ Dynamic stability
/ Dynamical Systems
/ Engineering
/ Finite difference method
/ Mathematical models
/ Mechanical Engineering
/ Original Paper
/ Parameters
/ Stability analysis
/ Vibration
/ Viral diseases
2021
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Numerical simulation and stability analysis of a novel reaction–diffusion COVID-19 model
by
Elsonbaty, Amr
, Raza, Ali
, Adel, Waleed
, Ahmed, Nauman
, Rafiq, Muhammad
in
Automotive Engineering
/ Classical Mechanics
/ Control
/ Coronaviruses
/ COVID-19
/ Dynamic stability
/ Dynamical Systems
/ Engineering
/ Finite difference method
/ Mathematical models
/ Mechanical Engineering
/ Original Paper
/ Parameters
/ Stability analysis
/ Vibration
/ Viral diseases
2021
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While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Numerical simulation and stability analysis of a novel reaction–diffusion COVID-19 model
by
Elsonbaty, Amr
, Raza, Ali
, Adel, Waleed
, Ahmed, Nauman
, Rafiq, Muhammad
in
Automotive Engineering
/ Classical Mechanics
/ Control
/ Coronaviruses
/ COVID-19
/ Dynamic stability
/ Dynamical Systems
/ Engineering
/ Finite difference method
/ Mathematical models
/ Mechanical Engineering
/ Original Paper
/ Parameters
/ Stability analysis
/ Vibration
/ Viral diseases
2021
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Numerical simulation and stability analysis of a novel reaction–diffusion COVID-19 model
Journal Article
Numerical simulation and stability analysis of a novel reaction–diffusion COVID-19 model
2021
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Overview
In this study, a novel reaction–diffusion model for the spread of the new coronavirus (COVID-19) is investigated. The model is a spatial extension of the recent COVID-19 SEIR model with nonlinear incidence rates by taking into account the effects of random movements of individuals from different compartments in their environments. The equilibrium points of the new system are found for both diffusive and non-diffusive models, where a detailed stability analysis is conducted for them. Moreover, the stability regions in the space of parameters are attained for each equilibrium point for both cases of the model and the effects of parameters are explored. A numerical verification for the proposed model using a finite difference-based method is illustrated along with their consistency, stability and proving the positivity of the acquired solutions. The obtained results reveal that the random motion of individuals has significant impact on the observed dynamics and steady-state stability of the spread of the virus which helps in presenting some strategies for the better control of it.
Publisher
Springer Netherlands,Springer Nature B.V
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