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Pei Yuan

York University - Centre for Diseases Modeling (CDM)

Canada

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Efficacy of 'Stay-at-Home' Policy and Transmission of COVID-19 in Toronto, Canada: A Mathematical Modeling Study

Number of pages: 26 Posted: 13 Oct 2020
Pei Yuan, Juan Li, Elena Aruffo, Qi Li, Tingting Zheng, Nick Ogden, Beate Sander, Jane M. Heffernan, Evgenia Gatov, effie gournis, Sarah Collier, Yi Tan, Jun Li, Julien Arino, Jacques Belair, James Watmough, Jude Dzevela Kong, Iain Moyles and Huaiping Zhu
York University - Centre for Diseases Modeling (CDM), York University - Centre for Diseases Modeling (CDM), York University - Centre for Diseases Modeling (CDM), York University - Centre for Diseases Modeling (CDM), York University - Centre for Diseases Modeling (CDM), Public Health Agency Canada - Public Health Risk Sciences Division, University of Toronto - Toronto Health Economics and Technology Assessment (THETA), York University - Centre for Diseases Modeling (CDM), City of Toronto - Toronto Public Health, City of Toronto - Toronto Public Health, City of Toronto - Toronto Public Health, York University - Centre for Diseases Modeling (CDM), York University - Centre for Diseases Modeling (CDM), University of Manitoba - Department of Mathematics, York University - Centre for Diseases Modeling (CDM), York University - Centre for Diseases Modeling (CDM), Artificial Intelligence & Mathematical Modeling Lab (AIMMLab); Africa-Canada Artificial Intelligence and Data Innovation Consortium (ACADIC); University of Toronto, York University - Centre for Diseases Modeling (CDM) and York University - Centre for Diseases Modeling (CDM)
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Abstract:

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COVID-19, transmission model, household structure, stay-at-home policy, non-pharmaceutical interventions, reopen