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The Oregonian
Mathematical supermodels refine epidemic predictions
"Most modern disease models were developed about 100 years ago, she said, in response to malaria epidemics. They use statistics and a series of equations to define in general terms how epidemics progress. In graphic form, Crandall said, the models draw smooth, continuous curves.
The Reed model is notably different. Technically speaking, it relies on parametric relationships and fractals, not differential equations and curves, Crandall said. Simply put, the new model is "discrete," not "continuous." It considers millions of interactions event by event -- as represented by each tiny green speck in the virtual forest fire.
The difference is notable in disease outbreaks."
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“Bioinformatics will be at the core of biology in the 21st century. In fields ranging from structural biology to genomics to biomedical imaging, ready access to data and analytical tools are fundamentally changing the way investigators in the life sciences conduct research and approach problems. Complex, computationally intensive biological problems are now being addressed and promise to significantly advance our understanding of biology and medicine. No biological discipline will be unaffected by these technological breakthroughs.”
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