Publication | Open Access
Modelling intracellular delay and therapy interruptions within Ghanaian HIV population
14
Citations
13
References
2020
Year
ImmunologyViral DynamicDelay Differential EquationTranslational MedicineInfectious Disease ModellingHiv LatencyHuman RetrovirusDisease ModelsVirologyChronic Viral InfectionHivSystem ImmunologyEpidemiologyGhanaian Hiv PopulationSystems ImmunologyDisease Modeling (Genome Editing)Aids PathogenesisDisease Modeling (Infectious Disease Modeling)Treatment And PreventionMedicine
Abstract This paper seeks to unveil the niche of delay differential equation in harmonizing low HIV viral haul and thereby articulating the adopted model, to delve into structured treatment interruptions. Therefore, an ordinary differential equation is schemed to consist of three components such as untainted CD4+ T-cells, tainted CD4+ T-cells (HIV) and CTL. A discrete time delay is ushered to the formulated model in order to account for vital components, such as intracellular delay and HIV latency which were missing in previous works but have been advocated for future research. It was divested that when the reproductive number was less than unity, the disease free equilibrium of the model was asymptotically stable. Hence the adopted model with or without the delay component articulates less production of virions as per the decline rate. Therefore CD4+ T-cells in the blood remains constant at $\delta _{1} / \delta _{3}$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mi>δ</mml:mi> <mml:mn>1</mml:mn> </mml:msub> <mml:mo>/</mml:mo> <mml:msub> <mml:mi>δ</mml:mi> <mml:mn>3</mml:mn> </mml:msub> </mml:math> , hence declining the virions level in the blood. As per the adopted model, the best STI practice is intimated for compliance.
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