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A fractional order co-infection model between malaria and filariasis epidemic

dc.authorscopusid 57225916529
dc.authorscopusid 57226805488
dc.authorscopusid 55793190461
dc.authorscopusid 7005872966
dc.contributor.author Kumar, P.
dc.contributor.author Kumar, A.
dc.contributor.author Kumar, S.
dc.contributor.author Baleanu, D.
dc.contributor.authorID 56389 tr_TR
dc.contributor.other Matematik
dc.date.accessioned 2024-05-24T11:28:26Z
dc.date.available 2024-05-24T11:28:26Z
dc.date.issued 2024
dc.department Çankaya University en_US
dc.department-temp Kumar P., Department of Mathematics, National Institute of Technology, Jharkhand, Jamshedpur, India; Kumar A., Department of Mathematics, JECRC University, Rajasthan, Jaipur, India; Kumar S., Department of Mathematics, National Institute of Technology, Jharkhand, Jamshedpur, India; Baleanu D., Department of Mathematics, Faculty of Arts and Sciences, Cankaya University, Ankara, Turkey en_US
dc.description.abstract In this article, we investigate a mathematical malaria-filariasis co-infection model with the assistance of the non-integer order operator. Using the fractal-fractional operator in the Caputo-Fabrizio (CF) sense, it has been possible to understand the dynamical behaviour and complicatedness of the malaria-filariasis model. An investigation of the existence and uniqueness of the solution employs fixed-point theory. Ulam-Hyers stability helps examine the stability analysis of the proposed co-infection model. The malaria-filariasis model has been investigated using the Toufik-Atanagana (TA), a sophisticated numerical method for these biological co-infection models. With the help of numerical procedures, we provide the approximate solutions for the proposed model. A variety of fractal dimension and fractional order options are utilized for the presentation of the results. When we adjust sensitive parameters like τ and γ, the graphical representation illustrates the system’s behaviour and identifies suitable parameter ranges for solutions. In addition, we evaluate the model along with the regarded operators and various β1 values using an exceptional graphical representation. © 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group on behalf of the University of Bahrain. en_US
dc.identifier.citation Kumar, Parveen...et al. (2024). "A fractional order co-infection model between malaria and filariasis epidemic", Arab Journal of Basic and Applied Sciences, Vol. 31, No. 1, pp. 132-153. en_US
dc.identifier.doi 10.1080/25765299.2024.2314376
dc.identifier.endpage 153 en_US
dc.identifier.issn 2576-5299
dc.identifier.issue 1 en_US
dc.identifier.scopus 2-s2.0-85185113958
dc.identifier.scopusquality Q2
dc.identifier.startpage 132 en_US
dc.identifier.uri https://doi.org/10.1080/25765299.2024.2314376
dc.identifier.volume 31 en_US
dc.identifier.wosquality N/A
dc.institutionauthor Baleanu, Dumitru
dc.language.iso en en_US
dc.publisher Taylor and Francis Ltd. en_US
dc.relation.ispartof Arab Journal of Basic and Applied Sciences en_US
dc.relation.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.scopus.citedbyCount 11
dc.subject Existence And Uniqueness en_US
dc.subject Fractal-Fractional Derivative en_US
dc.subject Malaria-Filariasis Model en_US
dc.subject Numerical Scheme en_US
dc.subject Ulam-Hyers Stability en_US
dc.title A fractional order co-infection model between malaria and filariasis epidemic tr_TR
dc.title A Fractional Order Co-Infection Model Between Malaria and Filariasis Epidemic en_US
dc.type Article en_US
dspace.entity.type Publication
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relation.isAuthorOfPublication.latestForDiscovery f4fffe56-21da-4879-94f9-c55e12e4ff62
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relation.isOrgUnitOfPublication.latestForDiscovery 26a93bcf-09b3-4631-937a-fe838199f6a5

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