Model of HIV Infection Dynamics with Varying Source Parameters for the Rate of T-Cell Supply Through Using Contionus Galerkin-Petrov Time Discretization Scheme

Adil Khurshaid
Additional contact information
Adil Khurshaid: Department of Mathematics, University of Swabi, Swabi, KP, Pakistan

Biomedical Journal of Scientific & Technical Research, 2023, vol. 50, issue 1, 41291-41304

Abstract: In this manuscript, a new approach termed as †Continous Galerkin-Petrov†is imple- mented to create a mathematical model after the HIV infection that represents the be- havior of uninfected CD4+ T-cells, infected CD4+ T-cells, and free HIV pathogens. Over- all dynamics of healthy, infected CD4+ T-cells and free HIV pathogens are governed by the stream function for CD4+ T-cells replenishment from the thymocytes. We further looked at the impact of several adjustable parameterization on the stream of new CD4+ T-cells in extensive detail. Secondly, the framework is determined using the Runge Kut- ta technique of fourth order (RK-4 method). Finally, the suggested scheme’s reliability and validity are confirmed by analyzing the graphical and numerical results to the re- sults of RK4-method. The numerical and statistical results were.

Keywords: Journals on Medical Drug and Therapeutics; Journals on Emergency Medicine; Physical Medicine and Rehabilitation; Journals on Infectious Diseases Addiction Science and Clinical Pathology; Open Access Clinical and Medical Journal; Journals on Biomedical Science; List of Open Access Medical Journal; Journals on Biomedical Engineering; Open Access Medical Journal; Biomedical Science Articles; Journal of Scientific and Technical Research (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:

Downloads: (external link)
https://biomedres.us/pdfs/BJSTR.MS.ID.007901.pdf (application/pdf)
https://biomedres.us/fulltexts/BJSTR.MS.ID.007901.php (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:abf:journl:v:50:y:2023:i:1:p:41291-41304

DOI: 10.26717/BJSTR.2023.50.007901

Access Statistics for this article

Biomedical Journal of Scientific & Technical Research is currently edited by Robert Thomas

More articles in Biomedical Journal of Scientific & Technical Research from Biomedical Research Network+, LLC
Bibliographic data for series maintained by Angela Roy ().