• 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