Hassanzadeh Keshteli, AmmarAllen, DanaAnjum, AfiaPatel, YashviSivakumaran, AadhavyaTian, SiyangWang, FeiWang, HaoLewis, Mark A.Greiner, RussellWishart, David S.2025-04-152025-04-152021Keshteli, A. H., Allen, D., Anjum, A., Patel, Y., Sivakumaran, A., Tian, S., Wang, F., Wang, H., Lewis, M. A., Greiner, R., & Wishart, D. S. (2021). A longitudinal dataset of incidence and intervention policy impacts regarding the COVID-19 pandemic in Canadian provinces. Data in Brief, 38, 107381. https://doi.org/10.1016/j.dib.2021.107381https://doi.org/10.1016/j.dib.2021.107381https://hdl.handle.net/1828/21926One 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.enCC BY-NC-ND 4.0ArticleDepartment of BiologyDepartment of Mathematics and Statistics