Recent Advances in Computational Epidemiology

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...

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Bibliographic Details
Published inIEEE intelligent systems Vol. 28; no. 4; pp. 96 - 101
Main Authors Marathe, Madhav V., Ramakrishnan, Naren
Format Journal Article
LanguageEnglish
Published New York, NY IEEE 01.07.2013
IEEE Computer Society
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Biological and medical sciences
computational epidemiology
Computational modeling
Data mining
Epidemiology
General aspects
intelligent systems
machine learning
Medical sciences
Medical services
Public health
public health epidemiology
Public health. Hygiene
Public health. Hygiene-occupational medicine
Epidemiology
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Summary: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.
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ISSN:1541-1672
1941-1294
DOI:10.1109/MIS.2013.114