kamboj2018_Fig9

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Fig. 9b dashed curve (eta=0.6,gamma=0.7,p=1.0) dynamic not reproduced, steady state is.

Model Manuscripts

Multidrug Therapy for HIV Infection: Dynamics of Immune System.

  • Deepmala Kamboj
  • MD Sharma
Acta Biotheor. 2019; 67 (2): 129
Abstract
A mathematical model of the dynamics of the immune system is considered to illustrate the effect of its response to HIV infection, i.e. on viral growth and on T-cell dynamics. The specific immune response is measured by the levels of cytotoxic lymphocytes in a human body. The existence and stability analyses are performed for infected steady state and uninfected steady state. In order to keep infection under control, roles of drug therapies are analyzed in the presence of efficient immune response. Numerical simulations are computed and exhibited to illustrate the support of the immune system to drug therapies, so as to ensure the decay of infection and to maintain the level of healthy cells.
Id Name JWS model
model9a_kamboj1 model9a_kamboj1 kamboj1
model9b_kamboj1 model9b_kamboj1 kamboj1
Id Name Source Number of Data Sources
Id Name Model Simulation Simulation Simulation
task9a_model9a_kamboj1 task9a_model9a_kamboj1 model9a_kamboj1 0.0 500.0 1000
task9b_model9b_kamboj1 task9b_model9b_kamboj1 model9b_kamboj1 0.0 500.0 1000

2D Plots

Id Name Number of Curves
kamboj9a Fig9a - T-cell populations, effect of p relative to efficacies 2
kamboj9b Fig9b - Viral loads, effect of p relative to efficacies 2

CSV Reports

Id Name Number of Columns