For the sake of human health, it is crucial to investigate infectious diseases including HIV/AIDS, hepatitis, and others. Worldwide, the recently discovered new coronavirus (COVID-19) poses a serious threat. The experimental vaccination and different COVID-19 strains found around the world make the virus' spread unavoidable. In the current research, fractional order is used to study the dynamics of a nonlinear modified COVID-19 SEIR model in the framework of the Caputo-Fabrizio fractional operator with order b. Fixed point theory has been used to investigate the qualitative analysis of the solution respectively. The well-known Laplace transform method is used to determine the approximate solution of the proposed model. Using the COVID-19 data that is currently available, numerical simulations are run to validate the necessary scheme and examine the dynamic behavior of the various compartments of the model. In order to stop the pandemic from spreading, our findings highlight the significance of taking preventative steps and changing one's lifestyle.
COVID-19 model theoretical analysis Laplace transform Caputo-Fabrizio fractional operator numerical simulations
Primary Language | English |
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Subjects | Bioinformatics and Computational Biology, Applied Mathematics |
Journal Section | Research Articles |
Authors | |
Publication Date | December 30, 2022 |
Submission Date | November 17, 2022 |
Published in Issue | Year 2022 |