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Comprehending the Model of Omicron Variant Using Fractional Derivatives

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Date

2023

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Volume Title

Publisher

Taylor & Francis Ltd

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GOLD

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No

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Abstract

The world is grappled with an unprecedented challenges due to Corona virus. We are all battling this epidemic together, but we have not been able to defeat this epidemic yet. A new variant of this virus, named 'Omicron' is spreading these days. The fractional differential equations are providing us with better tools to study the mathematical model with memory effects. In this paper, we will consider an extended SER mathematical model with quarantined and vaccinated compartment to speculate the Omicron variant. This extended Susceptible Exposed Infected Recovered SER model involves equations that associate with the group of individuals those are susceptible (S), exposed (E): this class includes the individuals who are infected but not yet infectious, infectious (W): this class includes the individuals who are infected but not yet Quarantined, quarantined (Q): this class includes those group of people who are infectious, confirmed and quarantined, recovered (R) this class includes the group of individuals who have recovered, and vaccinated (V): this class includes the group of individuals who have been vaccinated. The non-negativity and of the extended SER model is analysed, the equilibrium points and the basic reproduction number are also calculated. The proposed model is then extended to the mathematical model using AB derivative operator. Proof for the existence and the uniqueness for the solution of fractional mathematical model in sense of AB fractional derivative is detailed and a numerical method is detailed to obtain the numerical solutions. Further we have discussed the efficiency of the vaccine against the Omicron variant via graphical representation.

Description

Goswami, Pranay/0000-0003-1205-1975

Keywords

Covid-19, Omicron Variant, Ser Model, Fractional Derivative, Existence And Uniqueness, Predictor-Corrector Method, Artificial intelligence, Epidemic Models, Class (philosophy), Operator (biology), Social Distancing, Mathematical analysis, Gene, Health Sciences, QA1-939, FOS: Mathematics, Genetics, omicron variant, ser model, Biology, Anomalous Diffusion Modeling and Analysis, predictor–corrector method, Modeling the Dynamics of COVID-19 Pandemic, Public Health, Environmental and Occupational Health, Fractional calculus, Pure mathematics, fractional derivative, Engineering (General). Civil engineering (General), Applied mathematics, Computer science, Fractional Derivatives, covid-19, Modeling and Simulation, Disease Transmission and Population Dynamics, FOS: Biological sciences, Physical Sciences, Repressor, Medicine, Uniqueness, TA1-2040, Transcription factor, Mathematics, existence and uniqueness

Fields of Science

01 natural sciences, 0103 physical sciences

Citation

Sharma, Shivani...et.al. (2023). "Comprehending the model of omicron variant using fractional derivatives", Applied Mathematics in Science and Engineering, Vol.31, No.1.

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OpenCitations Citation Count
16

Source

Applied Mathematics in Science and Engineering

Volume

31

Issue

1

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CrossRef : 3

Scopus : 19

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Mendeley Readers : 6

SCOPUS™ Citations

20

checked on Feb 24, 2026

Web of Science™ Citations

18

checked on Feb 24, 2026

Page Views

2

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