A simple chaotic model for development of HIV virus

Document Type : Article

Authors

1 Department of Biomedical Engineering, Amirkabir University of Technology, No. 350, Hafez Ave, Valiasr Square, Tehran 159163-4311, Iran

2 School of Engineering, Monash University, Selangor, Malaysia

3 Department of Physics, University of Wisconsin-Madison, Madison, WI 53706, USA

4 - Health Technology Research Institute, Amirkabir University of Technology, No. 350, Hafez Ave, Valiasr Square, Tehran 159163-4311, Iran - Department of Biomedical Engineering, Amirkabir University of Technology, No. 350, Hafez Ave, Valiasr Square, Tehran 159163-4311, Iran

Abstract

Studying the growth of HIV virus in the human body as one of the fastest infectious viruses is very important. Using mathematical modeling can make experimental tests easier to process and evaluate. It can also help to predict the disease progress and provide a better insight into the virus development. In this study, a new nonlinear differential equation model is introduced to investigate the interaction of the HIV virus with the body immune system. This is a physiological-based model capable of representing complex behaviors. The bifurcation analysis with a variation of activated healthy T cells is carried out. It is shown that the chaotic development of the virus is available for some ranges of activated healthy T cells. This may explain why the virus develops differently in different individuals or under different circumstances. The chaotic region contains some narrow periodic windows, in which the chaotic mode suddenly ends at some critical points, and the system starts a periodic behavior for a tiny range of active healthy T cells. This may indicate the possibility of controllable development of the HIV virus even when it is in the random-like phase of the disease. For more illustration, the system's state space is represented.

Keywords

References

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Scientia Iranica
Volume 28, Special issue on collective behavior of nonlinear dynamical networks
Transactions on Computer Science & Engineering and Electrical Engineering (D)
June 2021
Pages 1643-1652

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History

  • Receive Date: 14 March 2020
  • Revise Date: 22 February 2021
  • Accept Date: 26 April 2021

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