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QUALITATIVE AND QUANTITATIVE ANALYSIS OF VECTOR-BORNE INFECTION THROUGH FRACTIONAL FRAMEWORK

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dc.citedby3
dc.contributor.authorJan R.en_US
dc.contributor.authorDegaichia H.en_US
dc.contributor.authorBoulaaras S.en_US
dc.contributor.authorUr Rehman Z.en_US
dc.contributor.authorBahramand S.en_US
dc.contributor.authorid57205596279en_US
dc.contributor.authorid56158307600en_US
dc.contributor.authorid36994353700en_US
dc.contributor.authorid58061628700en_US
dc.contributor.authorid58725436500en_US
dc.date.accessioned2025-03-03T07:41:47Z
dc.date.available2025-03-03T07:41:47Z
dc.date.issued2024
dc.description.abstractVector-borne infections are a class of human diseases resulting from the transmission of pathogenic microorganisms, including bacteria, viruses, and parasites, through various vectors. Yellow fever, prevalent in both the American and African continents, stands as a prominent example of vector-borne infections. In this paper, we structure the transmission dynamics of yellow fever with vaccine and treatment through non-integer derivative. The fixed point theorem introduced by Banach and Schaefer is utilized to examine the existence and uniqueness of solutions for the proposed yellow fever system. The sufficient conditions of the Ulam-Hyers stability has been established for our system. The solution routes are highlighted using the Laplace Adomian decomposition method to show the influence of input factors on yellow fever. In order to visualise the impacts of fractional-order, vaccine, biting rate, and treatment on the infection level, numerical simulations are performed. We proposed the most attractive parameters of the system for the prevention and control of the infection. Furthermore, it is proposed that the biting rate of mosquitoes is dangerous and can increase the possibility of infection in the community. We suggest that the index of memory, treatment and vaccination are attractive parameters which can reduce the level of infection. ? 2024 American Institute of Mathematical Sciences. All rights reserved.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.3934/dcdss.2024067
dc.identifier.epage3017
dc.identifier.issue10
dc.identifier.scopus2-s2.0-85195175902
dc.identifier.spage2996
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85195175902&doi=10.3934%2fdcdss.2024067&partnerID=40&md5=a801afa92e201f103d1ee915db1d1060
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/36282
dc.identifier.volume17
dc.pagecount21
dc.publisherAmerican Institute of Mathematical Sciencesen_US
dc.relation.ispartofAll Open Access; Gold Open Access
dc.sourceScopus
dc.sourcetitleDiscrete and Continuous Dynamical Systems - Series S
dc.titleQUALITATIVE AND QUANTITATIVE ANALYSIS OF VECTOR-BORNE INFECTION THROUGH FRACTIONAL FRAMEWORKen_US
dc.typeArticleen_US
dspace.entity.typePublication
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