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Exploring the dynamics of HIV and CD4+ T-cells with non-integer derivatives involving nonsingular and nonlocal kernel

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dc.citedby1
dc.contributor.authorShutaywi M.en_US
dc.contributor.authorShah Z.en_US
dc.contributor.authorVrinceanu N.en_US
dc.contributor.authorJan R.en_US
dc.contributor.authorDeebani W.en_US
dc.contributor.authorid57210147083en_US
dc.contributor.authorid57194441902en_US
dc.contributor.authorid26434973300en_US
dc.contributor.authorid57205596279en_US
dc.contributor.authorid57210144021en_US
dc.date.accessioned2025-03-03T07:41:29Z
dc.date.available2025-03-03T07:41:29Z
dc.date.issued2024
dc.description.abstractIt is important to examine and comprehend how HIV interacts with the immune system in order to manage the infection, enhance patient outcomes, advance medical research, and support global health and socioeconomic stability. In this study, we formulate the dynamics of HIV infection to investigate the intricate interactions between HIV and T-cells. The Atangana-Baleanu and Caputo-Fabrizio derivative frameworks are applied to comprehensively examine the phenomenon of HIV viral transmission. The basic concepts and results of fractional calculus are presented for the analysis of the model. In our work, we focus on the dynamical behavior of HIV and immune system. We introduce numerical schemes to elucidate the solution pathways of the recommended system of HIV. We have shown the influence of various input factors on the solution pathways of the recommended fractional system and highlighted the oscillatory behavior and chaotic nature of the dynamics. Our findings demonstrate the complexity of the system under study by revealing the existence of the chaotic and oscillatory nature in the dynamics of HIV. In order to quantitatively characterize HIV dynamics, a number of simulations are carried out, providing a visual representation of the effects of different input variables. It has been observed that the chaos and the oscillatory behaviour is strongly related to the nonlinearity of the system. The present study provides a basis for further initiatives that try to enhance interventions and policies to lessen the worldwide burden of infection. ? The Author(s) 2024.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo24506
dc.identifier.doi10.1038/s41598-024-73580-9
dc.identifier.issue1
dc.identifier.scopus2-s2.0-85206832066
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85206832066&doi=10.1038%2fs41598-024-73580-9&partnerID=40&md5=0484b005e6b1006e60ab212a80a05de6
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/36169
dc.identifier.volume14
dc.publisherNature Researchen_US
dc.sourceScopus
dc.sourcetitleScientific Reports
dc.subjectCD4-Positive T-Lymphocytes
dc.subjectComputer Simulation
dc.subjectHIV Infections
dc.subjectHumans
dc.subjectCD4+ T lymphocyte
dc.subjectcomputer simulation
dc.subjecthuman
dc.subjectHuman immunodeficiency virus infection
dc.subjectimmunology
dc.subjectvirology
dc.titleExploring the dynamics of HIV and CD4+ T-cells with non-integer derivatives involving nonsingular and nonlocal kernelen_US
dc.typeArticleen_US
dspace.entity.typePublication
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