A longitudinal dataset of incidence and intervention policy impacts regarding the COVID-19 pandemic in Canadian provinces
Ammar Hassanzadeh Keshteli,
Dana Allen,
Afia Anjum,
Yashvi Patel,
Aadhavya Sivakumaran,
Siyang Tian,
Fei Wang,
Hao Wang,
Mark A. Lewis,
Russell Greiner,
David S. Wishart
Affiliations
Ammar Hassanzadeh Keshteli
Department of Biological Sciences, University of Alberta, Edmonton, AB T6G 2E9, Canada
Dana Allen
Department of Biological Sciences, University of Alberta, Edmonton, AB T6G 2E9, Canada
Afia Anjum
Department of Computing Science, University of Alberta, Edmonton, AB T6G 2E8, Canada
Yashvi Patel
Department of Biological Sciences, University of Alberta, Edmonton, AB T6G 2E9, Canada
Aadhavya Sivakumaran
Department of Biological Sciences, University of Alberta, Edmonton, AB T6G 2E9, Canada
Siyang Tian
Department of Biological Sciences, University of Alberta, Edmonton, AB T6G 2E9, Canada
Fei Wang
Department of Computing Science, University of Alberta, Edmonton, AB T6G 2E8, Canada; Alberta Machine Intelligence Institute, Edmonton, AB T5J 3B1, Canada
Hao Wang
Department of Mathematical and Statistical Sciences, University of Alberta, Edmonton, AB T6G 2G1, Canada
Mark A. Lewis
Department of Biological Sciences, University of Alberta, Edmonton, AB T6G 2E9, Canada; Department of Mathematical and Statistical Sciences, University of Alberta, Edmonton, AB T6G 2G1, Canada
Russell Greiner
Department of Computing Science, University of Alberta, Edmonton, AB T6G 2E8, Canada; Alberta Machine Intelligence Institute, Edmonton, AB T5J 3B1, Canada
David S. Wishart
Department of Biological Sciences, University of Alberta, Edmonton, AB T6G 2E9, Canada; Department of Computing Science, University of Alberta, Edmonton, AB T6G 2E8, Canada; Corresponding author at: Department of Biological Sciences, University of Alberta, Edmonton, AB T6G 2E9, Canada.
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.
