Talk abstract:
Drug Therapy Models of HIV Pathogenesis
and Epidemiology
Patrick Nelson
Institute for Mathematics and its Applications (IMA)
Mathematical models have proven valuable in understanding
the dynamics of HIV-1 infection in vivo. By comparing these
models to data obtained from patients undergoing antiretroviral
drug therapy, it has been possible to determine many quantitative
features of the interaction between HIV-1, the virus that causes
AIDS, and the cells that are infected by the virus. The most
dramatic finding has been that even though AIDS is a disease
that occurs on a time scale of about 10 years, there are very
rapid dynamical processes that occur on time scales of hours
to days, as well as slower processes that occur on time scales
of weeks to months. We show how dynamical modeling and parameter
estimation techniques have uncovered these important features
of HIV pathogenesis and impacted the way in which AIDS patients
are treated with potent antiretroviral drugs. Lastly, I will
briefly discuss the epidemiological characteristics of HIV models
and the current state of understanding of viral infections
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1998-1999
Mathematics in Biology