Author: Keshteli, Ammar Hassanzadeh; Allen, Dana; Anjum, Afia; Patel, Yashvi; Sivakumaran, Aadhavya; Tian, Siyang; Wang, Fei; Wang, Hao; Lewis, Mark A.; Greiner, Russell; Wishart, David S.
Title: A longitudinal dataset of incidence and intervention policy impacts regarding the COVID-19 pandemic in Canadian provinces Cord-id: m20k8r0b Document date: 2021_9_20
ID: m20k8r0b
Snippet: One year after identifying the first case of the 2019 coronavirus disease (COVID-19) in Canada, federal and provincial governments are still struggling to manage the pandemic. Provincial governments across Canada have experimented with widely varying policies in order to limit the burden of COVID-19. However, to date, the effectiveness of these policies has been difficult to ascertain. This is partly due to the lack of a publicly available, high-quality dataset on COVID-19 interventions and outc
Document: One year after identifying the first case of the 2019 coronavirus disease (COVID-19) in Canada, federal and provincial governments are still struggling to manage the pandemic. Provincial governments across Canada have experimented with widely varying policies in order to limit the burden of COVID-19. However, to date, the effectiveness of these policies has been difficult to ascertain. This is partly due to the lack of a publicly available, high-quality dataset on COVID-19 interventions and outcomes for Canada. The present paper provides a dataset containing important, Canadian-specific data that is known to affect COVID-19 outcomes, including sociodemographic, climatic, mobility and health system related information for all 10 Canadian provinces and their health regions. This dataset also includes longitudinal data on the daily number of COVID-19 cases, deaths, and the constantly changing intervention policies that have been implemented by each province in an attempt to control the pandemic.
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