报告题目:COVID-19 in the Canadian Context - Disease spread and healthcare demand
报告时间:2020年4月18日(周六)上午9:10—9:50
报 告 人:Jane Heffernan教授
报告地点:Zoom云会议(ID:932 1144 3567, 密码:nanxinda60)
报告摘要:COVID-19 spread in Canada's provinces and territories has great differences (i.e., large differences in populations, different testing rates and reporting rates), which makes it difficult to project disease progression in each population. It is therefore very difficult to determine healthcare demand and project the level of personal protective equipment (PPE) (including goggles, visors gloves, surgical masks, N95 masks, etc) is needed at what time for each region. In this talk I will give a brief overview of COVID-19 in Canada. I will then discuss a disease modeling and healthcare demand framework, adapted from a framework used by collaborators in Australia, to project healthcare demand and PPE need. The work is based on different social distancing, self-isolation, contact tracing, and school closure scenarios.
欢迎广大师生踊跃参加!
数学与统计学院
2020年4月16日
附:专家简介

Jane Heffernan is a Professor of Mathematics & Statistics at York University, where she leads the Modelling Infection and Immunity Lab in the Centre for Disease Modelling. Awards include the Governor General's Gold Medal, CAIMS-PIMS Early Career Award, an NSERC Acclerator Supplement, and a York Research Chair (Tier II). The primary goal of Dr Heffernan's research program is to uncover key contributors to infectious disease pathogenesis in-host (immunology and virology) and in populations (epidemiology). Studies include the effects of vaccines/therapeutics, social distancing, social immunity (bees), pathogen evolution, and the immune system. Dr Heffernan's work is funded by the Natural Science and Engineering Research Council of Canada (NSERC), the Canadian Institutes for Health Research (CIHR), and government and healthcare sector contracts. Her work is published in high profile journals in Mathematical Biology and Health, including, the Journal of Theoretical Biology, Bulletin of Mathematical Biology, Vaccine, Lancet Infectious Diseases, and the Journal of Infectious Diseases.