Sensitivity Analysis of the HIV-1 Infection Model with Saturated CTL Immune Response

Authors

  • R. Ramya, R. Rohini, K. Krishnan

DOI:

https://doi.org/10.17762/msea.v71i4.792

Abstract

Recently, a large number of mathematical models that are described by delay differential equations (DDEs) have appeared in the life sciences. This is an article to show that delay differential models have a richer mathematical framework (compared with models without memory or after-effects) and a better consistency with biological phenomena such as      dynamical diseases and cell growth dynamics. In this paper, we present a delay differential model to describe the HIV-1 dynamics model with a CTL immune response with two time delays. We performed a sensitivity analysis of the HIV-1 dynamics model that reveals the parameter values have a major impact on the model dynamics. Our goal is to determine which parameter has the greatest influence on model dynamics and can be verified using graphs.

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Published

2022-09-12

How to Cite

R. Ramya, R. Rohini, K. Krishnan. (2022). Sensitivity Analysis of the HIV-1 Infection Model with Saturated CTL Immune Response. Mathematical Statistician and Engineering Applications, 71(4), 2398–2415. https://doi.org/10.17762/msea.v71i4.792

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Section

Articles