Workshop on Establishing the Scientific Foundation for Quantitative Public Health Decision-Making
Organized by Jianhong Wu (Mprime Centre for Disease Modeling at York), University David Buckeridge (Surveillance Lab at McGill University), Charmaine Dean (University of Western Ontario)
http://www.fields.utoronto.ca/programs/scientific/12-13/public_health/04/29/2013 - 05/03/2013
Fields Institute, Toronto, Canada
This workshop is part of the MPE2013 pan--Canadian program on “Models and methods in epidemiology, ecology and public health.”
Science informed public health policy relies on the interactive interplay among surveillance systems, data analysis, mathematical modeling, and simulation. The effectiveness of modeling epidemiological characteristics and interventions depends on the accuracy of model parameterization, which requires an understanding of the underlying epidemiological processes and statistical analysis of available population and disease data collected through surveillance data. On the other hand, the requirement of model parameters and features of disease specific data combined provide challenges and opportunities to develop statistical techniques which in turn can contribute to the design and improvement of surveillance