Yiqing Xia, Jorge Luis Flores Anato, Caroline Colijin, Naveed Janjua, Michael Otterstatter, Mike Irvine, Tyler Williamson, Marie B. Varughese, Michael Li, Nathaniel Osgood, David J. D. Earn, Beate Sander, Lauren E. Cipriano, Kumar Murty, Fanyu Xiu, Arnaud Godin, David Buckeridge, Amy Hurford, Sharmistha Mishra, and Mathieu Maheu-Giroux (2024)
Canada's provincial COVID-19 pandemic modelling efforts: a review of mathematical models and their impacts on the responses
Canadian Journal of Public Health, 115:541-557.
Mathematical modelling played an important role in the public health response to COVID-19 in Canada. Variability in epidemic trajectories, modelling approaches, and data infrastructure across provinces provides a unique opportunity to understand the factors that shaped modelling strategies.
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