Using transportation data to predict pandemics

In a world of increasing global connections, predicting the spread of infectious diseases is more complicated than ever. Using network theory and transportation data, Northwestern University’s Dirk Brockmann developed a computational model that can generate with high accuracy the origin of an outbreak and the predicted arrival times of a pandemic in specific locations. His work shows that cities with a very high level of connectedness, such as London, are important epicenters for tracking the sp…

Fuente : http://www.eurekalert.org/pub_releases/2013-02/nu-…



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