Canada's provincial COVID-19 pandemic modelling efforts: A review of mathematical models and their impacts on the responses.

Yiqing XiaJorge Luis Flores AnatoCaroline ColijnNaveed JanjuaMike IrvineTyler WilliamsonMarie B VarugheseMichael LiNathaniel OsgoodDavid J D EarnBeate SanderLauren E CiprianoKumar MurtyFanyu XiuArnaud GodinDavid BuckeridgeAmy HurfordSharmistha MishraMathieu Maheu-Giroux

Published in: Canadian journal of public health = Revue canadienne de sante publique (2024)

Provincial modelling efforts during the COVID-19 pandemic were tailored to local contexts and modulated by available resources. Strengthening Canadian modelling capacity, developing and sustaining collaborations between modellers and governments, and ensuring earlier access to linked and timely surveillance data could help improve pandemic preparedness.

Keyphrases

public health
sars cov
quality improvement
coronavirus disease
electronic health record
big data
smoking cessation
machine learning
deep learning