Comprehending the Model of Omicron Variant Using Fractional Derivatives
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Date
2023
Journal Title
Journal ISSN
Volume Title
Publisher
Taylor & Francis Ltd
Open Access Color
GOLD
Green Open Access
No
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
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
ORCID
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.
WoS Q
Q1
Scopus Q
Q3

OpenCitations Citation Count
16
Source
Applied Mathematics in Science and Engineering
Volume
31
Issue
1
Start Page
End Page
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Citations
CrossRef : 3
Scopus : 19
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Mendeley Readers : 6
SCOPUS™ Citations
20
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Web of Science™ Citations
18
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Page Views
2
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