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SUMMARY:Inference of epidemiological dynamics using sequence data: applica
 tion to influenza - Viboud\, C (National Institutes of Health)
DTSTART:20130821T103000Z
DTEND:20130821T110000Z
UID:TALK46754@talks.cam.ac.uk
CONTACT:Mustapha Amrani
DESCRIPTION:In the past decade\, there has been a rapid increase in the av
 ailability of high-resolution viral sequence and epidemiological data\, co
 mbined with developments in statistical and computational methods to simul
 ate and infer the population dynamics of viral infections. Sequence-based 
 approaches have provided key insights into the spatial and temporal dynami
 cs of influenza A viruses in humans. In this talk\, we will review and con
 trast findings from phylogenetic and epidemiologic studies of influenza po
 pulation dynamics. 
LOCATION:Seminar Room 1\, Newton Institute
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