Evidence map›Paper›PMID 35874320›Full record

ArticleIndian journal of physics and proceedings of the Indian Association for the Cultivation of Science (2004)2023

Numerical analysis of fractional coronavirus model with Atangana-Baleanu derivative in Liouville-Caputo sense.

Manish Goyal, Amit Kumar Saraswat, Amit Prakash

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Article in Indian journal of physics and proceedings of the Indian Association for the Cultivation of Science (2004), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

3 authors.

Manish GoyalDepartment of Mathematics, Institute of Applied Sciences and Humanities, GLA University, Mathura, 281406 India.
Amit Kumar SaraswatDepartment of Mathematics, Institute of Applied Sciences and Humanities, GLA University, Mathura, 281406 India.
Amit PrakashDepartment of Mathematics, National Institute of Technology, Kurukshetra, 136119 India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The novel coronavirus which emerged at the end of the year 2019 has made a huge impact on the population in all parts of the world. The causes of the outbreak of this deadliest virus in human beings are not yet known to the full extent. In this paper, an investigation is carried out for a new convergent solution of the time-fractional coronavirus model and a reliable homotopy perturbation transform method (HPTM) is used to explore the possible solution. In the presented model, the Atangana-Baleanu derivative in the Liouville-Caputo sense is used. The variations of the susceptible, the exposed, the infected, the quarantined susceptible (isolated and exposed), the hospitalized and the recovered population with time are presented through figures and are further discussed. The effects of selected parameters on the population with the time are also shown through figures. The convergence of solution by the HPTM is shown through tables. The results reveal that the HPTM is efficient, systematic, very effective, and easy to use in getting a solution to this new time-fractional mathematical model of coronavirus disease.

Indexed as

Atangana-Baleanu derivative in Liouville-Caputo senseFractional calculusFractional coronavirus modelHe’s polynomialsHomotopy perturbation transform method (HPTM)

Identifiers

PMID35874320
PMCPMC9289664

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.