A Computational Framework to Study Public Health Epidemiology

  • Authors:
  • Courtney D. Corley;Armin R. Mikler

  • Affiliations:
  • -;-

  • Venue:
  • IJCBS '09 Proceedings of the 2009 International Joint Conference on Bioinformatics, Systems Biology and Intelligent Computing
  • Year:
  • 2009

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Abstract

Public Health professionals require computational support to study disease outbreak dynamics and to facilitate policy and decision-making. Modeling disease outbreaks in large realistic populations is a data-intensive task that requires tremendous computational resources. This paper presents a framework of multiple source and computational modules to evaluate what-if scenarios and quantify public health actions.