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Inference of epidemiological dynamics using sequence data: application to influenza

Date: 
Wednesday 21st August 2013 - 11:30 to 12:00
Venue: 
INI Seminar Room 1
Session Title: 
Experimental Design and Inference
Abstract: 
In the past decade, there has been a rapid increase in the availability of high-resolution viral sequence and epidemiological data, combined with developments in statistical and computational methods to simulate and infer the population dynamics of viral infections. Sequence-based approaches have provided key insights into the spatial and temporal dynamics of influenza A viruses in humans. In this talk, we will review and contrast findings from phylogenetic and epidemiologic studies of influenza population dynamics.
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Presentation Material: 
University of Cambridge Research Councils UK
    Clay Mathematics Institute London Mathematical Society NM Rothschild and Sons