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| Pam Frost Gorder, "Computational Epidemiology," Computing in Science and Engineering, vol. 12, no. 1, pp. 4-6, January/February, 2010. | |||
| BibTex | x | ||
| @article{ 10.1109/MCSE.2010.7, author = {Pam Frost Gorder}, title = {Computational Epidemiology}, journal ={Computing in Science and Engineering}, volume = {12}, number = {1}, issn = {1521-9615}, year = {2010}, pages = {4-6}, doi = {http://doi.ieeecomputersociety.org/10.1109/MCSE.2010.7}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - MGZN JO - Computing in Science and Engineering TI - Computational Epidemiology IS - 1 SN - 1521-9615 SP4 EP6 EPD - 4-6 A1 - Pam Frost Gorder, PY - 2010 KW - Keywords: computational epidemiology KW - social network modeling KW - modeling human behavior KW - disease tracking KW - spatial statistics KW - spatio-temporal statistics KW - swine flu KW - H1N1 KW - influenza VL - 12 JA - Computing in Science and Engineering ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MCSE.2010.7
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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