A Longitudinal Dataset of Incidence and Intervention Policy Impacts Regarding the COVID-19 Pandemic in Canadian Provinces

Published: 31 August 2021| Version 1 | DOI: 10.17632/hjfp9c5gdr.1
Ammar Hassanzadeh Keshteli,
Dana Allen,
Afia Anjum,
Aadhavya Sivakumaran,
Yashvi Patel,
Fei Wang,
Siyang Tian ,
Hao Wang ,
Mark Lewis,
Russell Greiner ,
David Wishart


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.



University of Alberta


Epidemiology, Canada, COVID-19