Projects from CANSSI’s Rapid Response Program – COVID-19

The Rapid Response Program is designed to support CANSSI members who are in the position to provide critical research support on rapidly emerging problems important to society on a provincial, national, and/or international scale. The program is focused on applied research that has strong potential to have an immediate impact.

How to Apply to the Current Call for COVID-19 Projects

Do you have a applied research idea related to COVID-19 that will have an immediate impact with the current pandemic? Our Rapid Response Program can help you support graduate students and/or postdocs as well as the costs of data acquisition over a period of 2-4 months. Find out more about our call for proposals related to COVID-19.

Learn more about CANSSI’s Rapid Response Program.

Projects Currently Supported

Estimating the Number of Hidden COVID-19 Cases
Led by Laura Cowen, Junling Ma and Pauline van den Driessche, University of Victoria

Host Genetics for SARS-CoV-2 Severity and Infection: Power and Control
Led by Lloyd T. Elliot from Simon Fraser University

Improved Estimation of Social Contact Matrices for Modeling the COVID-19 Epidemic in Canada
Led by Marc Brisson and Mélanie Drolet who are both members of the population measures group of the Institut national de santé publique du Québec

Statistical Methods for COVID-19 Mortality Forecasting at the Small-Area Level
Led by Jeffrey Rosenthal, University of Toronto

Investigating Exposure and Host Genetic Risk Factors in Studies of COVID-19
Led by Lei Sun and Lisa Strug, both of the University of Toronto

New 2020 Mortality Tables for Quebec: Excess Mortality Due to COVID-19 and its Indirect Effects
Led by Louis Doray, Jean-François Angers and Nadine Ouellette of the Université de Montréal

Can the Reported COVID-19 Data Tell us the Truth?
Led by Grace Yi and Wenqing He, both of Western University

Modeling and Visualization of the COVID-19 Outbreak in Canadian Long-Term Care Homes
Led by John Braun and Ngan Lyle, both of the University of British Columbia – Okanagan and Patrick Brown of the University of Toronto

Detecting Anomalies in COVID-19 Indicators
Led by Daniel McDonald of the University of British Columbia

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