In vivo HIV dynamics, modeling the interaction of HIV and immune system via non-linear derivatives

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dc.contributor.authorJan, Asif
dc.contributor.authorSrivastava, Hari Mohan
dc.contributor.authorKhan, Amin
dc.contributor.authorMohammed, Pshtiwan Othman
dc.contributor.authorJan, Rashid
dc.contributor.authorHamed, Y. S.
dc.date.accessioned2024-02-14T17:19:53Z
dc.date.available2024-02-14T17:19:53Z
dc.date.copyright2023en_US
dc.date.issued2023
dc.description.abstractThe economic burden of HIV extends beyond the individual level and affects communities and countries. HIV can lead to decreased economic growth due to lost productivity and increased healthcare costs. In some countries, the HIV epidemic has led to a reduction in life expectancy, which can impact the overall quality of life and economic prosperity. Therefore, it is significant to investigate the intricate dynamics of this viral infection to know how the virus interacts with the immune system. In the current research, we will formulate the dynamics of HIV infection in the host body to conceptualize the interaction of T-cells and the immune system. The recommended model of HIV infection is presented with the help of fractional calculus for more precious outcomes. We introduce numerical methods to demonstrate how the input parameters affect the output of the system. The dynamical behavior and chaotic nature of the system are visualized with the variation of different input factors. The system’s tracking path has been numerically depicted and the impact of the viruses on T-cells has been demonstrated. In addition to this, the key factors of the system has been predicted through numerical findings. Our results predict that the strong non-linearity of the system is responsible for the chaos and oscillation, which are so closely related. The chaotic parameters of the system are highlighted and are recommended for the control of the chaos of the system.en_US
dc.description.reviewstatusRevieweden_US
dc.description.scholarlevelFacultyen_US
dc.identifier.citationJan, A., Srivastava, H. M., Khan, A., Mohammed, P. O., Jan, R., & Hamed, Y. S. (2023). In vivo HIV dynamics, modeling the interaction of HIV and immune system via non-integer derivatives. Fractal and Fractional, 7(5), 361. https://doi.org/10.3390/fractalfract7050361en_US
dc.identifier.urihttps://doi.org/10.3390/fractalfract7050361
dc.identifier.urihttp://hdl.handle.net/1828/15997
dc.language.isoenen_US
dc.publisherFractal and Fractionalen_US
dc.subjectHIV dynamics
dc.subjectimmune system
dc.subjectfractional calculus
dc.subjectnumerical scheme
dc.subjecttime series analysis
dc.subjectchaos
dc.subject.departmentDepartment of Mathematics and Statistics
dc.titleIn vivo HIV dynamics, modeling the interaction of HIV and immune system via non-linear derivativesen_US
dc.typeArticleen_US

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