Resources
Time & Date
Thursday, May 26th, 2022
1:00 p.m. – 2:00 Central daylight time
Speakers – Dr. Jane Heffernan and Dr. Amy Hurford – with an interactive Q&A after the presentation
Learning Outcomes
Participants will learn about:
- The implementation of mathematical models in exploring endemic diseases
- The value of understanding outcomes of endemic disease models for public health
- The applications of mathematical modelling in the context of evolving COVID-19
- Future opportunities for public health and mathematical modelling research in the context of endemic infectious diseases, including COVID-19
The presentation will be followed by a Q&A session.
Registrants are encouraged to submit questions of interest to wendy.xie@umanitoba.ca.
Speakers
Dr. Jane Heffernan
Dr. Jane Heffernan is a Professor in the Department of Mathematics & Statistics at York University and an inaugural York Research Chair (Tier II) in Multi-Scale Quantitative Methods for Evidence-based Health Policy. She is a co-director of the Centre for Disease Modelling, is President-Elect of the Society for Mathematical Biology, and is a Member of the Royal Society of Canada’s College of New Scholars, Artists, and Scientists. She is a Scientific Advisor to the Canadian COVID Immunity Task Force, and Health Canada’s COVID Demand Modelling Group. Dr. Heffernan’s research responds to the pressing need for new statistical, mathematical, and computational methods of mapping, understanding, and controlling infectious diseases and aims to influence the development of new evidence-based public health policies.
Dr. Amy Hurford
Dr. Amy Hurford is an Associate Professor at Memorial University of Newfoundland and Labrador in the Biology and Mathematics and Statistics departments, with a cross-appointment to the Faculty of Medicine. Dr. Hurford is a mathematical biologist whose research applies mathematical modelling to population dynamics, ecology, and evolutionary epidemiology. Dr. Hurford recently served as a member of the Newfoundland and Labrador Predictive Analytics modelling group, and is a member of the Modelling Advisory Group to the COVID Immunity Task Force, the Canadian Network for Modelling Infectious Disease, Mathematics for Public Health, and the One Health Network for Modelling Emerging Infections.