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Fall 2007
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Gideon Zamba Department of Biostatistics University of Iowa "A Bayesian Analytical Tool for ILI Control and Detection of Intentional Release"
3:00 Refreshments in 241 Schaeffer Hall
3:30 Talk in 140 Schaeffer Hall
This work presents a Bayesian approach to influenza control through the use of sequential update technique, in order to build a detection algorithm for influenza outbreak and potential intentional release of biological agents. The objective is to find evidence of outbreak against a background in which markers of possible intentional release are non-stationary and serially dependent. Our work takes on the US Sentinel influenza-like-illnesses (ILI) data to find this evidence, and to address some issues related to the control of ILI. Our model uses an observed %ILI, defines an initial prior, builds a recursive and sequential update method by finding the posterior distribution of the incidence of ILI at each stage, and setting it as a prior distribution for the next stage. We also use a historical data to set a threshold model based on successive differences in posterior coverage probability. A sensitivity analysis was conducted to assess timeliness, correct alarm, and missed alarm rates of our technique.
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All talks are free and open to the public.
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The 37th Annual Craig Lectures will be on October 11 and 12. Our speaker this year is Nancy Reid from the University of Toronto.
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Spring 2007 |
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