AIDS Modeling II

SB17.1 Resource Allocation for HIV Control Margaret L. Brandeau, Gregory Zaric --- Stanford Univ., IE/EM Dept., Stanford, CA 94305-4024, (brandeau@stanford.edu)

We discuss models to determine optimal resource allocation for¨ control of the HIV epidemic. We investigate how the optimal resource¨ allocation changes as a function of population size, growth of the¨ epidemic in each population and effectiveness of interventions¨ (measured by changes in behavior as a function of resources¨ expended).

SB17.2 Mathematical Considerations of Antiretroviral Therapy Aimed at HIV-1 Eradication or Maintenance of Low Viral Loads Rebecca D'Amato, Lawrence M. Wein, Alan Perelson --- MIT, OR Ctr., Cambridge, MA 02139 ,

We construct and analyze a mathematical model that tracks the¨ dynamics of cells and virus, under a combination regime of reverse¨ transcriptase and protease inhibitors. We investigate factors that¨ influence the success or failure of powerful regimens to eradicate¨ HIV-1 or to maintain viral loads at low levels.

SB17.3 The Effects of Buprenorphine Treatment on Reducing Drug Abuse & the Spread of HIV Gregory Zaric, Paul G. Barnett --- Stanford Univ., Dept. of IE/EM, Stanford, CA 94305-4024, (zaric@leland.stanford.edu)

Burperorphine, a newly developed alternative to methadone, can be¨ used for combating opiate addiction. This study considers the¨ effectiveness of buprenorophine in reducing illicit drug use,¨ preventing HIV infection and mortality and increasing¨ quality-adjusted years of survival. We use an epidemic model¨ combined with economic analysis.