Recently, many illustrative studies have been performed on the mathematical modeling and analysis of COVID-19. Due to the uncertainty in the process of vaccination and its efficiency on the disease, there have not been taken enough studies into account yet. In this context, a mathematical model is developed to reveal the effects of vaccine treatment, which has been developed recently by several companies, on COVID-19 in.this study. In the suggested model, as well as the vaccinated individuals, a five-dimensional ordinary differential equation system including the susceptible, infected, exposed and recovered population is constructed. This mentioned system is considered in the fractional order to investigate and point out more detailed analysis in the disease and its future prediction. Moreover, besides the positivity, existence and uniqueness of the solution, biologically feasible region are provided. The basic reproduction number, known as expected secondary infection which means that expected infection among the susceptible populations caused by this infection, is computed. In the numerical simulations, the parameter values taken from the literature and estimated are used to perform the solutions of the proposed model. In the numerical simulations, Adams-Bashforth algorithm which is a well-known numerical scheme is used to obtain the results.

1.
M.
Yavuz
,
F.O.
Cosar
,
F.
Gunay
&
F.N.
Ozdemir
.
A New Mathematical Modeling of the COVID-19 Pandemic Including the Vaccination Campaign
.
Open Journal of Modelling and Simulation (OJMSi)
,
9
(
3
),
299
321
, (
2021
).
2.
S.P.
Kaur
&
V.
Gupta
,
COVID-19 Vaccine: A comprehensive status report
.
Virus research
,
198114
, (
2020
).
3.
P.A.
Naik
,
M.
Yavuz
,
S.
Qureshi
,
J.
Zu
&
Townley
,
S.
Modeling and analysis of COVID-19 epidemics with treatment in fractional derivatives using real data from Pakistan
.
The European Physical Journal Plus
,
135
(
10
),
1
42
, (
2020
).
4.
M.
Yavuz
&
E.
Bonyah
.
New approaches to the fractional dynamics of schistosomiasis disease model. Phys-ica A: Statistical Mechanics and its Applications
,
525
,
373
393
, (
2019
).
5.
F.
Evirgen
,
S.
Uçar
,
N.
Özdemir
&
Z.
Hammouch
.
System response of an alcoholism model under the effect of immigration via non-singular kernel derivative
.
Discrete & Continuous Dynamical Systems-S
,
14
(
7
),
2199
2212
, (
2021
).
6.
M.
Yavuz
&
N.
Özdemir
.
Analysis of an epidemic spreading model with exponential decay law
.
Mathematical Sciences and Applications E-Notes
,
8
(
1
),
142
154
, (
2020
).
7.
N.
Özdemir
,
S.
Uçar
&
B.B.İ.
Eroğlu
. .
Dynamical analysis of fractional order model for computer virus propagation with kill signals
.
International Journal of Nonlinear Sciences and Numerical Simulation, 1(ahead-of-print)
, (
2019
).
8.
P.A.
Naik
,
M.
Yavuz
&
J.
Zu
.
The role of prostitution on HIV transmission with memory: a modeling approach
.
Alexandria Engineering Journal
,
59
(
4
),
2513
2531
, (
2020
).
9.
K.M.
Safare
,
V.S.
Betageri
,
D.G.
Prakasha
,
P.
Veeresha
&
S.
Kumar
.
A mathematical analysis of ongoing outbreak COVID-19 in.India through nonsingular derivative
.
Numerical Methods for Partial Differential Equations
,
37
(
2
),
1282
1298
, (
2021
).
10.
P.
Veeresha
.
A Numerical Approach to the Coupled Atmospheric Ocean Model using a Fractional Operator
.
Mathematical Modelling and Numerical Simulation with Applications
,
1
(
1
),
1
10
, (
2021
).
11.
W.
Gao
,
P.
Veeresha
,
D.G.
Prakasha
&
H.M.
Baskonus
.
Novel dynamic structures of 2019-nCoV with non-local operator via powerful computational technique
.
Biology
,
9
(
5
),
107
, (
2020
).
12.
C.
Baishya
,
S.J.
Achar
,
P.
Veeresha
&
D.G.
Prakasha
.
Dynamics of a fractional epidemiological model with disease infection in both the populations. Chaos
:
An Interdisciplinary Journal of Nonlinear Science
,
31
(
4
),
043130
, (
2021
).
13.
P.
Veeresha
,
D.G.
Prakasha
&
D.
Kumar
, D.
Fractional SIR epidemic model of childhood disease with Mittag-Leffler memory
.
In Fractional Calculus in Medical and Health Science
(pp.
229
248
), (
2020
),
CRC Press
.
14.
P.A.
Naik
,
K.M.
Owolabi
,
M.
Yavuz
&
J.
Zu
.
Chaotic dynamics of a fractional order HIV-1 model involving AIDS-related cancer cells
.
Chaos, Solitons & Fractals
,
140
,
110272
, (
2020
).
15.
M.
Yavuz
&
N.
Sene
.
Stability Analysis and Numerical Computation of the Fractional Predator–Prey Model with the Harvesting Rate
.
Fractal Fract
,
4
,
35
, (
2020
).
16.
C.
Obasi
&
G.C.E.
Mbah
.
On the stability analysis of a mathematical model of Lassa fever disease dynamics
.
Journal of the Nigerian Society for Mathematical Biology
,
2
,
135
144
, (
2019
).
17.
M.
Mandal
,
S.
Jana
,
S.K.
Nandi
,
A.
Khatua
,
S.
Adak
&
T.K.
Kar
.
A model based study on the dynamics of COVID-19: Prediction and control
.
Chaos, Solitons & Fractals
,
136
,
109889
, (
2020
).
18.
Birkhoff
,
G.
Rota
, G.C.
Ordinary Differential Equations
;
Wiley
:
Hoboken, NJ, USA
, (
1989
).
19.
H.W.
Hethcote
.
The mathematics of infectious diseases
.
SIAM Rev.
42
,
599
653
, (
2000
).
20.
A.A.
Kilbas
,
H.M.
Srivastava
and
J.J.
Trujillo
. Theory and Applications of Fractional Differential Equations,
The Netherlands
:
Elsevier
, (
2006
).
21.
W.
Lin
.
Global existence theory and chaos control of fractional differential equations
.
Journal of Mathematical Analysis and Applications
,
332
(
1
),
709
726
, (
2007
).
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