A Computational Framework to Study Public Health Epidemiology

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.