Skip to main content Skip to local navigation
Home » Category: 'Mathematics and COVID-19' (Page 2)

Mathematics and COVID-19

Predictive modelling of COVID-19 in Canada to inform public health measures

Speaker: Dr. Nick Ogden, Director, Public Health Risk Sciences Division National Microbiology Laboratory (NML) Public Health Agency of Canada (PHAC) Abstract: This presentation will encompass modelling at the Public Health Agency of Canada (PHAC) to understand possible trajectories of the COVID-19 epidemic in Canada under different scenarios for public health measures (also called Non-Pharmaceutical Interventions). The […]

Real-time epi and acute care need monitoring/forecasting for COVID-19: Sequential Monte Carlo-leveraged transmission models

Speaker: Dr. Nathaniel Osgood, University of Saskatchewan Abstract: While COVID-19 transmission models have conferred great value in informing public health understanding, planning and response, the ability of public health decision makers to rely purely upon traditional transmission models with pre-set assumptions — no matter how favourably evidenced when built — is challenged by numerous factors. The […]

From the Black Death to COVID-19: Analyzing the past and forecasting the future

Speaker: Dr. David Earn, Mathematics & Statistics, McMaster University David Earn was born and raised in Winnipeg, Canada, and was an undergraduate in Mathematics at UToronto. He obtained his PhD from UCambridge, UK, where his research involved application of mathematics to theoretical astrophysics. During his postdoctoral years, he became interested in applying math to biological […]

Evolving epidemiology of COVID-19 in different regions of China

Speaker: Dr. Hongjie Yu, School of Public Health, Fudan University Hongjie Yu’s research interests include transmission dynamics, epidemiological parameters, disease burden, evaluation of interventions, clinical research to understand pathogen-immune interactions, as well as vaccine efficacy, safety, and cost effectiveness for infectious diseases with public health importance, e.g. COVID-19, zoonoses, influenza, hand-foot-mouth disease, dengue, rabies, pneumococcus […]