2002 · 62 citations · 9 references
Public HealthInfectious DiseasesPharmacotherapyBiological Systems ModelingHiv ControlHiv PreventionAntiretroviral TherapyAntiviral TherapyControl TheoryDose OptimizationImmune System ModelingOptimal ControlAnti-viral ImmunityCd4 Positive T CellsCd4 T Cell ActivationDose Adjustment ModelingHiv Infection ModelsHiv Population DynamicsMathematical Modeling Of Viral SpreadViral Load Assessment
This work deals with a particular application of the optimal control theory to a model related to HIV infection dynamics. The mathematical model adopted in this work was proposed by Nowak et al. (1996), and describes the dynamics of viral concentration in terms of interaction with CD4 cells and the cytoroxic T lymphocytes, which are responsible for the immune defence of the organism. The control variable is the drug dose which, in turn, affects the rate of infection of CD4 cells by HIV virus. The cost function to be minimized is a weighted sum of the final viral load and the accumulated side effects. Simulation results show that the optimal control scheme can achieve improved quality of the treatment in terms of reduction in the viral load and quantity of administered drugs, but has the inconvenience related to the necessity of frequent and periodic laboratory analysis to provide feedback information to adjust the doses.
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Introduction to Numerical Analysis.
Carl-Erik Fröberg, Josef Stoer, Roland Bulirsch · Mathematics of Computation · 1981 · 5.5K citations
Population Dynamics of Immune Responses to Persistent Viruses
Martin A. Nowak, Charles R. M. Bangham · Science · 1996 · 1.3K citations
Antigenic Diversity Thresholds and the Development of AIDS
Martin A. Nowak, Roy M. Anderson, Angela R. McLean et al. · Science · 1991 · 532 citations
Antigenic oscillations and shifting immunodominance in HIV-1 infections
Martin A. Nowak, Robert M. May, Rodney E. Phillips et al. · Nature · 1995 · 321 citations