A rapid response workshop
January 22-23, 2015 (1/22 8:30AM - 1/23 1:30PM)
Venue: Historic Academy of Medicine @ Georgia Tech
The Ebola epidemic in West Africa has spurred an international response. The scope of this response has been strongly influenced by epidemiological models that predicted a devastating rise in cases without large-scale changes in behavior and intervention. There is increasing agreement that epidemic models have an important role to play in controlling Ebola. But models must also be examined carefully in light of uncertainties and constraints. This meeting will highlight concepts, challenges, and results arising from the use of models to predict the spread and facilitate the control of Ebola in W. Africa with a focus on the following central themes:
The meeting will include panel discussions, break-out groups, a poster session, and field-reports from W. Africa. Confirmed speakers include scientists, public health experts and policy makers. Space is limited, so please register early. A limited number of travel awards will be given, with preference to graduate students, postdocs and participants from developing countries.
Organizers: Joshua Weitz (Chair, Georgia Tech), Rustom Antia (Emory), John Drake (UGA), John Glasser (CDC), Jonathan Dushoff (McMaster), Pinar Keskinocak (Georgia Tech), Lauren Meyers (UT-Austin), Fredrik Vannberg (Georgia Tech)
REGISTER NOW: http://bioinformatics.gatech.edu/ebola-modeling-workshop-registration
$50 - registration on or before January 8, 2015
$100 - registration between January 9-January 14, 2015
Registration fee includes access to all events, as well as breakfast, lunch and coffee breaks on both days. Space is limited - please register early.
Participants who wish to present a poster must register and include a poster abstract before January 8, 2015. Expedited decisions on poster presentations will be made by January 12, 2015.
We are grateful for financial support from the following sources:
This workshop is made possible with additional logistical support from: