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January/February 2010 (vol. 12 no. 1)
pp. 4-6

Born from a desire to predict the future, epidemiology has largely been limited to studying the past. Now, computational epidemiology researchers are harnessing computing power to crack the complicated mystery of how diseases spread.

1. D.G. McNeil, "Models' Projections for Flu Miss Mark by Wide Margin," The New York Times,1 June 2010 www.nytimes.com/2009/06/02/health02model.html.

Index Terms:
Keywords: computational epidemiology, social network modeling, modeling human behavior, disease tracking, spatial statistics, spatio-temporal statistics, swine flu, H1N1, influenza
Citation:
Pam Frost Gorder, "Computational Epidemiology," Computing in Science and Engineering, vol. 12, no. 1, pp. 4-6, Jan.-Feb. 2010, doi:10.1109/MCSE.2010.7
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