A Computational Framework to Study Public Health Epidemiology

Courtney D. Corley, Armin R. Mikler
2009 2009 International Joint Conference on Bioinformatics, Systems Biology and Intelligent Computing  
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.
doi:10.1109/ijcbs.2009.83 dblp:conf/ijcbs/CorleyM09 fatcat:hrbowwadd5cgzhh65vdtp2foze