DocumentCode :
22812
Title :
Recent Advances in Computational Epidemiology
Author :
Marathe, Madhav V. ; Ramakrishnan, N.
Volume :
28
Issue :
4
fYear :
2013
fDate :
July-Aug. 2013
Firstpage :
96
Lastpage :
101
Abstract :
Public health epidemiology aims to understand the spatiotemporal spread of diseases and to develop methods to control such spread. Computational epidemiology has become increasingly multidisciplinary and has led to novel computational methods for understanding and controlling spatiotemporal disease spread. Recent advances focus specifically on modeling, data mining, and inferential and planning questions.
Keywords :
data mining; diseases; epidemics; public administration; computational epidemiology; computational methods; data mining; public health epidemiology; spatiotemporal disease spread; Computational modeling; Epidemiology; Medical services; computational epidemiology; data mining; intelligent systems; machine learning; public health epidemiology;
fLanguage :
English
Journal_Title :
Intelligent Systems, IEEE
Publisher :
ieee
ISSN :
1541-1672
Type :
jour
DOI :
10.1109/MIS.2013.114
Filename :
6682934
Link To Document :
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