A longitudinal dataset of incidence and intervention policy impacts regarding the COVID-19 pandemic in Canadian provinces

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dc.contributor.authorHassanzadeh Keshteli, Ammar
dc.contributor.authorAllen, Dana
dc.contributor.authorAnjum, Afia
dc.contributor.authorPatel, Yashvi
dc.contributor.authorSivakumaran, Aadhavya
dc.contributor.authorTian, Siyang
dc.contributor.authorWang, Fei
dc.contributor.authorWang, Hao
dc.contributor.authorLewis, Mark A.
dc.contributor.authorGreiner, Russell
dc.contributor.authorWishart, David S.
dc.date.accessioned2025-04-15T19:22:06Z
dc.date.available2025-04-15T19:22:06Z
dc.date.issued2021
dc.description.abstractOne 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.
dc.description.reviewstatusReviewed
dc.description.scholarlevelFaculty
dc.description.sponsorshipThis research was financially supported by an Alberta provincial grant from Alberta Innovates. AHK was funded by postdoctoral fellowships from Alberta Innovates and the Canadian Institutes of Health Research (CIHR), HW gratefully acknowledges support from Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery Grant and NSERC Accelerator Grant. MAL is a Canada Research Chair in Mathematical Biology and was supported by NSERC Discovery Grant. RG is a Canada CIFAR AI Chair, and was partially supported by the Alberta Machine Intelligence Institute (Amii) and NSERC.
dc.identifier.citationKeshteli, 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.2021.107381
dc.identifier.urihttps://doi.org/10.1016/j.dib.2021.107381
dc.identifier.urihttps://hdl.handle.net/1828/21926
dc.language.isoen
dc.publisherData in Brief
dc.rightsCC BY-NC-ND 4.0
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject.departmentDepartment of Biology
dc.subject.departmentDepartment of Mathematics and Statistics
dc.titleA longitudinal dataset of incidence and intervention policy impacts regarding the COVID-19 pandemic in Canadian provinces
dc.typeArticle

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