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

Setting 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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Veröffentlicht in:	Canadian journal of public health 2024-08, Vol.115 (4), p.541-557
Hauptverfasser:	Xia, Yiqing, Flores Anato, Jorge Luis, Colijn, Caroline, Janjua, Naveed, Irvine, Mike, Williamson, Tyler, Varughese, Marie B., Li, Michael, Osgood, Nathaniel, Earn, David J. D., Sander, Beate, Cipriano, Lauren E., Murty, Kumar, Xiu, Fanyu, Godin, Arnaud, Buckeridge, David, Hurford, Amy, Mishra, Sharmistha, Maheu-Giroux, Mathieu
Format:	Artikel
Sprache:	eng
Schlagworte:	COVID-19 Data sources Disease transmission Dynamic structural analysis Epidemic models Epidemics Importation Innovations in Policy and Practice Mathematical models Medicine Medicine & Public Health Pandemics Provinces Public Health Severe acute respiratory syndrome coronavirus 2 Surveillance Trajectory analysis Translation Uniqueness Viral diseases
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