Login

Mathematics of Planet Earth 2013

  • Home
  • Workshops & Programs
    • Long Term Programs
    • Summer Schools
    • Workshops
    • Meetings
    • Public Lectures
  • Education
    • Curriculum Materials
    • Public Lectures
    • Summer Schools
    • Mathematical magazines
  • Public Events
    • Public Lectures
    • Exhibitions
    • Competitions
  • Partners
    • Societies
    • International Bodies
    • Institutes
    • Research Centers
    • Scientific Journals
    • Teacher Associations
    • Academic
    • Magazines
    • Others
    • Becoming a Partner
  • Opportunities
    • Call for Proposals
    • Becoming a Partner
    • MPECompetition
  • Calendar
  • News
    • Recent News
    • Past News
    • Newsletters
    • In the media
  • Blog

Categories

Public Lecture: “Mathematics and the Melting Polar Ice Caps”

Kenneth M. Golden, University of Utah, will deliver the MAA-AMS-SIAM Gerald and Judith Porter Public Lecture on Saturday, January 12, 3:00 p.m. - 4:00 p.m., Room 6AB, Upper Level, San Diego Convention Center.
Read more →

Recent Posts

  • Using mathematical modeling to eradicate diseases

    The Guinea Worm Disease, which already affected 50 million people, is almost eradicated with fewer than 2000 cases. What happened?
    Mathematical modeling helps identifying the most relevant parameter and design a strategy of action. Continue reading →

MPE2013 Newsletter

Workshop on Establishing the Scientific Foundation for Quantitative Public Health Decision-Making

Disease Modelling / Epidemiology / Public Health

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

  • Contact
IMU UNESCO ICIAM