Pandemics & Society Seminar, 20 March: How can pathogen genomic data uncover community drivers and determinants of COVID-19 spread?
For the third Pandemics & Society Seminar of our Spring 2025 series we are pleased to welcome Jessica Stockdale (Simon Fraser University). The seminar will be held on Thursday, 20 March at the normal time (1600 CET). More information about our speaker and the presentation is below. You can sign up for email notifications about the seminar series, including the Zoom details, here.
Abstract
Genomic epidemiology has become a critical part of the infectious disease toolbox, that sheds light on the effects of pathogen evolution on transmission. While genomic tools are now routinely used to track the emergence of novel pathogens and strains, their use in forecasting and efforts to model drivers of local transmission is still developing. In this talk, I will present a statistical modelling framework that forecasts the size of an upcoming COVID-19 wave, such as that driven by a new variant. This framework combines diverse global data, including COVID-19 genomic sequences and epidemiological, clinical and demographic features. We are able to assess which predictors were more or less influential on wave size, and how this varied during the pandemic. Focusing on the Omicron BA.1 and BA.2 waves, we found that local genomic landscapes and demographic features were impactful on wave sizes around the world, and the importance of predictors changed markedly between waves, reflecting ongoing changes in underlying epidemiology and our public health response.
About the Speaker
Dr. Jessica Stockdale is an Assistant Professor in the Department of Mathematics at Simon Fraser University and a member of the Pacific Institute on Pathogens, Pandemics and Society. Her research uses approaches in mathematical and statistical modelling to address challenges in public health, with a focus on infectious disease. Currently, her work spans the development of methods in genomic epidemiology to predict patterns of disease transmission, to applied healthcare modelling supporting response to homelessness and housing insecurity.