Isaac Newton Institute for Mathematical Sciences

Infectious Disease Dynamics

19–23 August 2013

Organisers: Chris Dye (WHO), John Edmunds (LSHTM), Julia Gog (Cambridge), Bryan Grenfell (Princeton), Hans Heesterbeek (Utrecht), Valerie Isham (University College London) and Denis Mollison (Heriot-Watt)

in association with the Newton Institute programme Infectious Disease Dynamics
(19 August - 13 September 2013)

Workshop Homepage | Programme | Participants | Application | Accommodation and Costs


M Baguelin (London School of Hygiene and Tropical Medicine)  
KJ Bolton (University of Melbourne) The potential for CTL inducing vaccines to control pandemic influenza Poster | Abstract
E Brooks Pollock (University of Cambridge)  
L Danon (University of Warwick)  
M Eichner (Universität Tübingen)  
C Gilligan (University of Cambridge)  
ES Knock (University of Nottingham) Non-Parametric Inference for Transmission Models within a Bayesian Framework Abstract
KY Leung (Universiteit Utrecht) The impact of concurrency on the spread of HIV Abstract
PJ Neal (Lancaster University)  
G Rozhnova (University of Manchester) Characterizing the dynamics of rubella relative to measles: the role of stochasticity Abstract
B Wu (Max-Planck-Institut für Evolutionsbiologie) Vaccination dilemma with imperfect vaccination efficiency Poster | Abstract
Copyright © Isaac Newton Institute