Abstract

Virus dynamics models are useful in interpreting and predicting the change in viral load over the time and the effect of treatment in emerging viral infections like HIV/AIDS, hepatitis B virus (HBV).We propose a mathematical model involving the role of total immune response (innate, CTL, and humoral) and treatment for productively infected cells and free virus to understand the dynamics of virus–host interactions. A threshold condition for the extinction or persistence of infection, i.e. basic reproductive number, in the presence of immune response (RI ) is established. We study the global stability of virus-free equilibrium and interior equilibrium using LaSalle’s principle and Lyapunov’s direct method. The global stability of virus-free equilibrium ensures the clearance of virus from the body, which is independent of initial status of subpopulations. Central manifold theory is used to study the behavior of equilibrium points at RI = 1, i.e. when the basic reproductive number in the presence of immune response is one. A special case, when the immune response (IR) is not present, has also been discussed. Analysis of special case suggests that the basic reproductive number in the absence of immune response R0 is greater than that of in the presence of immune response RI , i.e. R0> RI . It indicates that infection may be eradicated if RI < 1. Numerical simulations are performed to illustrate the analytical results using MatLab and Mathematica.

Highlights

  • 1.1 Onset of viral infectionDiseases caused by viral infections have had a major impact on populations

  • We constructed a virus dynamics model to understand the viral–host interaction and elucidate the effect of total immune response together with the treatment given to the free virus as well as the productively infected cells

  • The model is comprised of 5-state variables, that is, uninfected cells, productively infected cells, latently infected cells, free virus, and total immune response

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Summary

Onset of viral infection

Diseases caused by viral infections have had a major impact on populations (e.g. hepatitis B virus, HIV/AIDS). A virus may either exist in a latent (inactive) form for a prolonged period or it may immediately adopt the host replication machinery and start producing multiple copies of itself. Once large number of virus particles have been produced inside the cell, they come out of the cell by destroying it. These viruses are free to infect the other healthy cells. Virus encounters an immune response, which prevents its spread from an infected cell to adjacent uninfected cells. The present model is being proposed to understand the dynamics of interaction between uninfected cells, productively infected cells, latently infected cells, free virus, and the effect of immune response with treatment of productively infected cells and free virus

Mathematical models for HIV infection
Inclusion of effect of immune response
Inclusion of awareness and treatment
The mathematical model
Global stability and phase plane analysis of the subsystem
Variation of reproduction number
Conclusions
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