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.
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Corley et al. (2009) studied this question.
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