Since early 2020, we have found ourselves very focused on “the numbers” of the pandemic: counts of cases, hospitalizations and mortality; estimates of rates of spread and the effects of physical distancing policies. More recently, we have heard about the effectiveness of vaccines and how these might influence strategies for vaccine deployment. In this talk, Prof. Coombs will - in plain language - outline some of the most important quantitative concepts of epidemiology, explain their relevance to understanding the pandemic from last year to the present day, and describe how they can help us project into the future and map out possibilities for the next phase of the pandemic. He will also describe some critical uncertainties. This talk will include data and models from British Columbia, as well as elsewhere.
Professor Daniel Coombs is an expert in mathematical modelling applied to human health, immunity, and disease. Dr. Coombs obtained his MSc and PhD in applied mathematics from the University of Arizona and did postdoctoral work at Los Alamos National Lab, before joining the Department of Mathematics at the University of British Columbia (UBC) as a faculty member in 2003. Dr. Coombs contributes to our understanding of infection and immunity across scales from subcellular processes of immunological recognition to virus dynamics at the single-patient level, to epidemiological modelling across human communities.
He works closely with experimental scientists at UBC and BC Children’s Hospital Research Centre and public health experts at the BC Centre for Disease Control. Dr. Coombs is a member of the Canadian Chief Science Advisor’s expert panel on COVID19.
Please register for the event via EventBrite
January 13, 2021 at 7:00 PM
Online Event - Register to Receive the Stream Link