Keywords
|
Basic reproduction number, Covid-19, Epidemiological
modeling, Equilibrium point, Numerical simulation, SCIRS
model
|
Abstract
|
In this paper, applying Caputo fractional derivative operator,
the SCIRS epidemic model of Covid-19 has been presented. First,
the well-definedness of the model (positive invariance) has been checked.
We then calculate the equilibrium points of the system and the reproduction
number and discuss the local and global stability of the equilibria
based on values of the reproduction number. For the global stability
of the rest points, the Liapunov’s second method and LaSalle’s
invariance principle are used. The Pontryagin minimization principle
is utilized to derive the optimal control conditions, with a focus on
minimizing both the infection rate and the cost associated with vaccination
implementation. Applying fixed point theory, the existence and
uniqueness of the solutions of the model has been proven. Additionally,
by using MATLAB and fractional Euler method, a numerical method
has been applied to simulate the solutions based on real data and predict
the transmission of Covid-19.
|