People who recently have been infected with HIV may not be as highly infectious as previously believed, a finding that could improve global efforts to prevent HIV transmission and save lives. In particular, the finding bolsters the strategy of treating patients with antiretroviral drugs before the onset of AIDS to prevent transmission.
The University of Texas at Austin’s newest Ph.D. program in statistics was unanimously approved recently by the Texas Higher Education Coordinating Board. The program, managed by the College of Natural Sciences’ Division of Statistics + Scientific Computation, will provide doctoral students with rigorous training in advanced statistical methods and first-hand experience applying and developing such methods to analyze complex data in diverse fields.
As the new director of the Division of Statistics and Scientific Computation (SSC) at The University of Texas at Austin, Lauren Ancel Meyers hopes to recruit top faculty and continue a large string of initiatives geared toward students.
Mathematicians’ computer models on vaccine distribution, human behavior help decision-makers fight H1N1 flu
The new H1N1 flu is spreading like a wildfire across the globe. It's the first flu pandemic the world has seen since 1968, and many people are holding their breath. Whether or not swine flu will leave a massive amount of destruction in its wake or smolder along like a typical seasonal flu is a… » Continue Reading
Lauren Ancel Meyers and Paul Damien will participate in a $3 million, five-year grant from the National Institutes of Health (NIH) to fight influenza and other diseases by creating models that simulate the complex interplay between human behavior and the spread of disease.