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Whether it is in anticipation of a novel pandemic flu emergence, or in the face of a growing worldwide epidemic (e.g., Zika), public health officials need quantitative insights to properly react. Statistical modeling can help both through predictive frameworks and insight into underlying epidemiological processes. I will discuss research I have completed for both these goals, focusing on predicting the risk of Zika emergence in Texas, and discovering the seasonal pattern of pandemic influenza emergence. These models have allowed us to to work with public health officials to ensure a rapid and effective response to emerging outbreaks, as well as prepare for future risks. Host: Thomas Leitner |