Abstract
We examine the dynamics of infection by the human immunodeficiency virus (HIV), as well as therapies that minimize viral load, restore adaptive immunity, and use minimal dosage of anti-HIV drugs. Virtual therapies for wild-type infections are demonstrated; however, the HIV infection is never cured, requiring continued treatment to keep the condition in remission. With high viral turnover and mutation rates, drug-resistant strains of HIV evolve quickly. The ability of optimal therapy to contain drug-resistant strains is shown to depend upon the relative fitness of mutant strains.
Original language | English (US) |
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Pages (from-to) | 93-102 |
Number of pages | 10 |
Journal | Mathematical Biosciences |
Volume | 213 |
Issue number | 2 |
DOIs | |
State | Published - Jun 2008 |
All Science Journal Classification (ASJC) codes
- General Immunology and Microbiology
- Applied Mathematics
- General Biochemistry, Genetics and Molecular Biology
- General Agricultural and Biological Sciences
- Statistics and Probability
- Modeling and Simulation
Keywords
- HIV dynamics
- Mathematical model
- Nonlinear control
- Optimal therapy