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Caroline Colijin
Simon Fraser University (SFU) - Department of Mathematics
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SCHOLARLY PAPERS
1
DOWNLOADS
196
TOTAL CITATIONS
16
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Scholarly Papers (1)
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1.
Canada's Provincial Covid-19 Pandemic Modelling Efforts: A Review of Mathematical Models and Their Impacts on the Responses
Number of pages: 32
Posted: 22 Jun 2023
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 L. Buckeridge
,
Amy Hurford
,
Sharmistha Mishra
and
Mathieu Maheu-Giroux
McGill University - Epidemiology, Biostatistics, & Occupational Health, McGill University - Epidemiology, Biostatistics, & Occupational Health, Simon Fraser University (SFU) - Department of Mathematics, University of British Columbia (UBC) - School of Population and Public Health, University of British Columbia (UBC) - School of Population and Public Health, British Columbia Centre for Disease Control, University of Calgary - Department of Community Health Sciences, Alberta Health Services - Analytics and Performance Reporting Branch, University of Alberta - Department of Mathematical and Statistical Sciences, University of Saskatchewan - Department of Computer Science, McMaster University - Department of Mathematics & Statistics, University of Toronto - Toronto Health Economics and Technology Assessment (THETA), University of Western Ontario - Richard Ivey School of Business, University of Toronto - Department of Mathematics, McGill University - Epidemiology, Biostatistics, & Occupational Health, McGill University - Faculty of Medicine and Health Sciences, McGill University - School of Population and Global Health, Memorial University of Newfoundland (MUN) - Faculty of Science, University of Toronto - Department of Medicine and McGill University - Epidemiology, Biostatistics, & Occupational Health
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Abstract:
COVID-19; Mathematical modelling; Policy making; Knowledge translation; Pandemic; SARS-CoV-2
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