title: Mathematical models of HIV pathogenesis and treatment.
abstract: We review mathematical models of HIV dynamics, disease progression, and therapy. We start by introducing a basic model of virus infection and demonstrate how it was used to study HIV dynamics and to measure crucial parameters that lead to a new understanding of the disease process. We discuss the diversity threshold model as an example of the general principle that virus evolution can drive disease progression and the destruction of the immune system. Finally, we show how mathematical models can be used to understand correlates of long-term immunological control of HIV, and to design therapy regimes that convert a progressing patient into a state of long-term non-progression.
authors.affiliation: Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue North, MP-665, Seattle, WA 98109-1024, USA.
authors.forename: Dominik
authors.initials: D
authors.lastname: Wodarz
authors.forename: Martin A
authors.initials: MA
authors.lastname: Nowak
mesh_terms: D000465:Algorithms; D000818:Animals; D000998:Antiviral Agents / Q000494:pharmacology; D018450:Disease Progression; D006678:HIV / Q000502:physiology*; D015658:HIV Infections / Q000628:therapy* / Q000635:transmission* / Q000821:virology*; D006801:Humans; D008962:Models, Theoretical; D013997:Time Factors
chemical_list: D000998:Antiviral Agents