Analytical Forecasting of COVID‐19 Spread in Canada: Risk Monitoring and Prevention

Analytical Forecasting of COVID‐19 Spread in Canada: Risk Monitoring and Prevention

Analytical Forecasting of COVID‐19 Spread in Canada: Risk Monitoring and Prevention


Dr. Rupp Carriveau

University of Windsor

Dr. David Ting

University of Windsor

In December 2019 coronavirus disease 2019 (COVID‐19) appeared in Wuhan, China and since then Canada has taken measures to slow/stop the spreading of COVID‐19. A non‐exhaustive list of these measures included school shutdowns, prevention of gatherings, partial business shutdown, physical distancing, emergency financial aid programs, operating health systems beyond limits, and travel restrictions. As of April 5, 2020, over 15000 have tested positive for COVID‐19 across Canada. This number is predicted to increase as more tests are performed. While Canada has benefitted from other countries’ experiences, the virus still poses an escalating threat to Canadian life and economic welfare.

There is great uncertainty in the efficacy of current prevention and mitigation measures and truly transparent data driven models supplied with appropriate and accurate data have the potential to aid decision makers in their mission to protect human life. Our Overarching Objective is to develop a new data‐driven planning framework to deal with emerging threat of COVID‐19 in Canada.
 

Related Programs:
Nucleus Cores:

FUNDER:

WE-SPARK Health Institute and the Office of Research and Innovation Services, University of Windsor

GRANT DURATION:

2020-2021

COLLABORATORS

Western University

  • Dr. Matthew Davison

University of Windsor

  • Dr. Mo'tamad Bata
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