Computational Epidemiology
نویسندگان
چکیده
منابع مشابه
Algorithms for Computational Genetic Epidemiology
The most intriguing problems in genetics epidemiology are to predict genetic disease susceptibility and to associate single nucleotide polymorphisms (SNPs) with diseases. In such these studies, it is necessary to resolve the ambiguities in genetic data. The primary obstacle for ambiguity resolution is that the physical methods for separating two haplotypes from an individual genotype (phasing) ...
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The Prediction Challenge As Armin Mikler, director of the Computational Epidemiology Research Laboratory at the University of North Texas, explains it, the science of epidemiology sprang from the human desire to predict the future. Ever since 19th century doctor John Snow traced a deadly outbreak of cholera to certain London water wells, scientists have attempted to track human behavior to fore...
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As recent pandemics, such as the Zika and Ebola outbreaks have shown, diseases spread very fast in today’s interconnected world, making public health an important research area. Some of the basic questions are: How can an outbreak be contained before it becomes an epidemic, and what disease surveillance strategies should be implemented? These are challenging problems at the interface of dynamic...
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ژورنال
عنوان ژورنال: Computing in Science & Engineering
سال: 2010
ISSN: 1521-9615
DOI: 10.1109/mcse.2010.7