Date of Award
Master of Science (MS)
Mathematics and Statistics
Mevin B. Hooten
John R. Stevens
We present a general statistical modeling framework to characterize continental-level influenza dynamics in the United States for the purposes of examining state-level epidemiological sources and sinks. The methods we describe depend directly on state-level influenza data that are updated weekly and available on the internet. Advances in search engine query analysis have provided powerful new tools for collecting epidemiological data and, when used in conjunction with sophisticated statistical models, allow for the identification and quantification of the flow of influenza across the continental United States. Our proposed methods, when conditioned on this comprehensive search query product, can provide unprecedented scientific learning about large-scale pathways and barriers to disease transmission which can ultimately be helpful for policy, remediation, and response efforts.
Anderson, Jessica, "Assessing North American Influenza Dynamics with Hierarchical Spatio-Temporal Models" (2010). All Graduate Plan B and other Reports. 1214.
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