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Fractional perspective evaluation of chikungunya infection with saturated incidence functions

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dc.citedby29
dc.contributor.authorJan R.en_US
dc.contributor.authorNorfiza Abdul Razak N.en_US
dc.contributor.authorBoulaaras S.en_US
dc.contributor.authorRajagopal K.en_US
dc.contributor.authorKhan Z.en_US
dc.contributor.authorAlmalki Y.en_US
dc.contributor.authorid57205596279en_US
dc.contributor.authorid37059587300en_US
dc.contributor.authorid36994353700en_US
dc.contributor.authorid57201190869en_US
dc.contributor.authorid57997905800en_US
dc.contributor.authorid57212455564en_US
dc.date.accessioned2024-10-14T03:17:24Z
dc.date.available2024-10-14T03:17:24Z
dc.date.issued2023
dc.description.abstractIt is significant to investigate the transmission dynamics of vector-borne infection because it has a global impact, can help predict and prevent future outbreaks, is important for understanding the impact of climate change on public health, can lead to more effective control strategies, and can improve our comprehension of the dynamics of these infections. Our paper presents a new model for chikungunya virus infection, which considers treatment and vaccination, using the Atangana-Baleanu derivative within the framework of the Caputo definition. First of all, we examine the positivity and uniqueness of the solution for the model. Then, we find out the fundamental results of the suggested model, such as the steady-state without infection and the R0 value that indicates endemicity pertaining to the system. Furthermore, we verify the local asymptotic stability of the infection-free steady-state. Through the application of fixed-point theory, we demonstrate the existence of the solution and propose a numerical methodology to investigate the dynamic behavior of the model. Finally, we performed simulations to demonstrate the effects of vaccination, transmission probability, treatment, and index of memory on the system's solution pathways. The findings of this research suggest the most sensitive parameters of the system responsible for the control and prevention of the infection. Emphasizing the significance of the memory index as an attractive parameter, we propose its consideration to the policy makers as a control parameter for the prevention of the infection. � 2023 The Author(s)en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1016/j.aej.2023.10.036
dc.identifier.epage42
dc.identifier.scopus2-s2.0-85174705665
dc.identifier.spage35
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85174705665&doi=10.1016%2fj.aej.2023.10.036&partnerID=40&md5=d304d261abc8bcf91e194be21bd3b16c
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/33900
dc.identifier.volume83
dc.pagecount7
dc.publisherElsevier B.V.en_US
dc.relation.ispartofAll Open Access
dc.relation.ispartofGold Open Access
dc.sourceScopus
dc.sourcetitleAlexandria Engineering Journal
dc.subjectChikungunya infection
dc.subjectControl policies
dc.subjectFixed-point theory
dc.subjectFractional model
dc.subjectIterative method
dc.subjectAsymptotic stability
dc.subjectClimate change
dc.subjectFixed point arithmetic
dc.subjectVaccines
dc.subjectViruses
dc.subjectChikungunya
dc.subjectChikungunya infection
dc.subjectControl policy
dc.subjectControl strategies
dc.subjectFixed point theory
dc.subjectFractional model
dc.subjectGlobal impacts
dc.subjectIncidence function
dc.subjectSteady state
dc.subjectTransmission dynamics
dc.subjectIterative methods
dc.titleFractional perspective evaluation of chikungunya infection with saturated incidence functionsen_US
dc.typeArticleen_US
dspace.entity.typePublication
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