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Study of Dynamics of a COVID-19 Model for Saudi Arabia with Vaccination Rate, Saturated Treatment Function and Saturated Incidence Rate

Rubayyi T. Alqahtani and Abdelhamid Ajbar
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Rubayyi T. Alqahtani: Department of Mathematics and Statistics, College of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh 11432, Saudi Arabia
Abdelhamid Ajbar: Department of Chemical Engineering, College of Engineering, King Saud University, Riyadh 11421, Saudi Arabia

Mathematics, 2021, vol. 9, issue 23, 1-13

Abstract: This paper proposes, validates and analyzes the dynamics of the susceptible exposed infectious recovered (SEIR) model for the propagation of COVID-19 in Saudi Arabia, which recorded the largest number of cases in the Arab world. The model incorporates a saturated incidence rate, a constant vaccination rate and a nonlinear treatment function. The rate of treatment is assumed to be proportional to the number of infected persons when this number is low and reaches a fixed value for large number of infected individuals. The expression of the basic reproduction number is derived, and the model basic stability properties are studied. We show that when the basic reproduction number is less than one the model can predict both a Hopf and backward bifurcations. Simulations are also provided to fit the model to COVID-19 data in Saudi Arabia and to study the effects of the parameters of the treatment function and vaccination rate on disease control.

Keywords: COVID-19; nonlinear incidence rate; treatment function; vaccination; backward bifurcation; Saudi Arabia (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2021
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