TY - JOUR
T1 - Dynamics of a Fractional-Order Delayed Model of COVID-19 with Vaccination Efficacy
AU - Rihan, Fathalla A.
AU - Kandasamy, Udhayakumar
AU - Alsakaji, Hebatallah J.
AU - Sottocornola, Nicola
N1 - Publisher Copyright:
© 2023 by the authors.
PY - 2023/4
Y1 - 2023/4
N2 - In this study, we provide a fractional-order mathematical model that considers the effect of vaccination on COVID-19 spread dynamics. The model accounts for the latent period of intervention strategies by incorporating a time delay (Formula presented.). A basic reproduction number, (Formula presented.), is determined for the model, and prerequisites for endemic equilibrium are discussed. The model’s endemic equilibrium point also exhibits local asymptotic stability (under certain conditions), and a Hopf bifurcation condition is established. Different scenarios of vaccination efficacy are simulated. As a result of the vaccination efforts, the number of deaths and those affected have decreased. COVID-19 may not be effectively controlled by vaccination alone. To control infections, several non-pharmacological interventions are necessary. Based on numerical simulations and fitting to real observations, the theoretical results are proven to be effective.
AB - In this study, we provide a fractional-order mathematical model that considers the effect of vaccination on COVID-19 spread dynamics. The model accounts for the latent period of intervention strategies by incorporating a time delay (Formula presented.). A basic reproduction number, (Formula presented.), is determined for the model, and prerequisites for endemic equilibrium are discussed. The model’s endemic equilibrium point also exhibits local asymptotic stability (under certain conditions), and a Hopf bifurcation condition is established. Different scenarios of vaccination efficacy are simulated. As a result of the vaccination efforts, the number of deaths and those affected have decreased. COVID-19 may not be effectively controlled by vaccination alone. To control infections, several non-pharmacological interventions are necessary. Based on numerical simulations and fitting to real observations, the theoretical results are proven to be effective.
KW - COVID-19
KW - bifurcation
KW - fractional-order
KW - stability
KW - time-delay
KW - vaccination
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U2 - 10.3390/vaccines11040758
DO - 10.3390/vaccines11040758
M3 - Article
AN - SCOPUS:85153718490
SN - 2076-393X
VL - 11
JO - Vaccines
JF - Vaccines
IS - 4
M1 - 758
ER -