CCB Seminar: Dr. Trevor Bedford, University of Washington: Tracking and forecasting epidemic spread through viral genome sequencing

Seminar | February 5 | 4-5 p.m. | 125 Li Ka Shing Center

 Center for Computational Biology

Abstract:
Here, I present work on genomic epidemiology of Ebola virus and evolutionary dynamics of seasonal influenza virus. In both cases, we're using the Nextstrain platform to pull in sequence data in near real-time and generate inferences of epidemic patterns. For the ongoing outbreak of Ebola in North Kivu in the DRC, inferences focus on individual-level transmission patterns to aid in contact tracing. For seasonal influenza, inferences focus on forecasting strain dynamics to aid in the WHO's biannual process of vaccine strain selection.

Trevor Bedford is a faculty member in the Vaccine and Infectious Disease Division at the Fred Hutchinson Cancer Research Center and is affiliate faculty at the University of Washington. His research program focuses on phylodynamic analysis of pathogen sequence data with an intent of making inferences that are actionable to public health. This research program spans a number of viral systems including seasonal and avian influenza, Ebola, Zika, SIV, MERS-CoV, dengue and mumps.

 All Audiences

 All Audiences

 Light refreshments will be provided at reception from 3:30 - 4:00pm, 125 LKS foyer.

 ccbadmin@berkeley.edu