A Computational Framework to Study Public Health Epidemiology
Published 1 January 2009
Courtney D. Corley, Armin R. Mikler
Citations13
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TL;DR
This paper presents a framework of multiple source and computational modules to evaluate what-if scenarios and quantify public health actions to study disease outbreak dynamics and facilitate policy and decision-making.
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.
Keywords
Computer ScienceMathematicsMedicine
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