[HTML][HTML] Mathematical analysis of COVID-19 by using SIR model with convex incidence rate

R ud Din, EA Algehyne - Results in Physics, 2021 - Elsevier
R ud Din, EA Algehyne
Results in Physics, 2021Elsevier
This paper is about a new COVID-19 SIR model containing three classes; Susceptible S (t),
Infected I (t), and Recovered R (t) with the Convex incidence rate. Firstly, we present the
subject model in the form of differential equations. Secondly,“the disease-free and endemic
equilibrium” is calculated for the model. Also, the basic reproduction number R 0 is derived
for the model. Furthermore, the Global Stability is calculated using the Lyapunov Function
construction, while the Local Stability is determined using the Jacobian matrix. The …
This paper is about a new COVID-19 SIR model containing three classes; Susceptible S (t), Infected I (t), and Recovered R (t) with the Convex incidence rate. Firstly, we present the subject model in the form of differential equations. Secondly,“the disease-free and endemic equilibrium” is calculated for the model. Also, the basic reproduction number R 0 is derived for the model. Furthermore, the Global Stability is calculated using the Lyapunov Function construction, while the Local Stability is determined using the Jacobian matrix. The numerical simulation is calculated using the Non-Standard Finite Difference (NFDS) scheme. In the numerical simulation, we prove our model using the data from Pakistan.“Simulation” means how S (t), I (t), and R (t) protection, exposure, and death rates affect people with the elapse of time.
Elsevier
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