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Mohammad Esmael Samei

Mohammad Esmael Samei

Academic rank: Associate Professor
ORCID: 0000-0002-5450-3127
Education: PhD.
ScopusId: 55938219900
HIndex: 23/00
Faculty: Faculty of Science
Address: Department of Mathematics, Faculty of Science, Bu-Ali Sina University, Hamedan, Iran
Phone: 08131406263

Research

Title
Efficiency of Vaccines for Covid-19 and Stability Analysis with Fractional Derivative
Type
JournalPaper
Keywords
Efficiency of vaccines, numerical simulation, equilibrium point, Covid-19
Year
2024
Journal Computational Methods for Differential Equations
DOI
Researchers Mohammad Esmael Samei ، mahmud karimi ، Mohammed K. A. Kaabar ، Roya Letafati ، Jehad Alzabut ، Francisco Martinez

Abstract

The objectives of this study are to develop the $\mathtt{SEIR}$ model for Covid-19 and evaluate its main parameters such as therapeutic vaccines, vaccination rate and effectiveness of prophylactic. Global and local stability of the model and numerical simulation are examined. Local stability of equilibrium points was classified. A Lyapunov function is constructed to analyze global stability of the disease-free equilibrium. The simulation part is based on two situations, including the USA and Iran. Our results provide a good contribution to the current research on this topic.