A sub-national real-time epidemiological and vaccination database for the COVID-19 pandemic in Canada
The COVID-19 pandemic has demonstrated the need for real-time, open-access epidemiological information to inform public health decision-making and outbreak control efforts. In Canada, authority for healthcare delivery primarily lies at the provincial and territorial level; however, at the outset of...
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| Vydáno v: | Scientific data Ročník 8; číslo 1; s. 173 - 10 |
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| Médium: | Journal Article |
| Jazyk: | angličtina |
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London
Nature Publishing Group UK
15.07.2021
Nature Publishing Group Nature Portfolio |
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| ISSN: | 2052-4463, 2052-4463 |
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| Abstract | The COVID-19 pandemic has demonstrated the need for real-time, open-access epidemiological information to inform public health decision-making and outbreak control efforts. In Canada, authority for healthcare delivery primarily lies at the provincial and territorial level; however, at the outset of the pandemic no definitive pan-Canadian COVID-19 datasets were available. The COVID-19 Canada Open Data Working Group was created to fill this crucial data gap. As a team of volunteer contributors, we collect daily COVID-19 data from a variety of governmental and non-governmental sources and curate a line-list of cases and mortality for all provinces and territories of Canada, including information on location, age, sex, travel history, and exposure, where available. We also curate time series of COVID-19 recoveries, testing, and vaccine doses administered and distributed. Data are recorded systematically at a fine sub-national scale, which can be used to support robust understanding of COVID-19 hotspots. We continue to maintain this dataset, and an accompanying online dashboard, to provide a reliable pan-Canadian COVID-19 resource to researchers, journalists, and the general public.
Measurement(s)
COVID-19 Cases • COVID-19 Mortalities • COVID-19 vaccination
Technology Type(s)
digital curation
Sample Characteristic - Organism
Homo sapiens
Sample Characteristic - Location
Canada
Machine-accessible metadata file describing the reported data:
https://doi.org/10.6084/m9.figshare.14331311 |
|---|---|
| AbstractList | The COVID-19 pandemic has demonstrated the need for real-time, open-access epidemiological information to inform public health decision-making and outbreak control efforts. In Canada, authority for healthcare delivery primarily lies at the provincial and territorial level; however, at the outset of the pandemic no definitive pan-Canadian COVID-19 datasets were available. The COVID-19 Canada Open Data Working Group was created to fill this crucial data gap. As a team of volunteer contributors, we collect daily COVID-19 data from a variety of governmental and non-governmental sources and curate a line-list of cases and mortality for all provinces and territories of Canada, including information on location, age, sex, travel history, and exposure, where available. We also curate time series of COVID-19 recoveries, testing, and vaccine doses administered and distributed. Data are recorded systematically at a fine sub-national scale, which can be used to support robust understanding of COVID-19 hotspots. We continue to maintain this dataset, and an accompanying online dashboard, to provide a reliable pan-Canadian COVID-19 resource to researchers, journalists, and the general public.
Measurement(s)
COVID-19 Cases • COVID-19 Mortalities • COVID-19 vaccination
Technology Type(s)
digital curation
Sample Characteristic - Organism
Homo sapiens
Sample Characteristic - Location
Canada
Machine-accessible metadata file describing the reported data: 10.6084/m9.figshare.14331311 Measurement(s) COVID-19 Cases • COVID-19 Mortalities • COVID-19 vaccination Technology Type(s) digital curation Sample Characteristic - Organism Homo sapiens Sample Characteristic - Location Canada Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.14331311 The COVID-19 pandemic has demonstrated the need for real-time, open-access epidemiological information to inform public health decision-making and outbreak control efforts. In Canada, authority for healthcare delivery primarily lies at the provincial and territorial level; however, at the outset of the pandemic no definitive pan-Canadian COVID-19 datasets were available. The COVID-19 Canada Open Data Working Group was created to fill this crucial data gap. As a team of volunteer contributors, we collect daily COVID-19 data from a variety of governmental and non-governmental sources and curate a line-list of cases and mortality for all provinces and territories of Canada, including information on location, age, sex, travel history, and exposure, where available. We also curate time series of COVID-19 recoveries, testing, and vaccine doses administered and distributed. Data are recorded systematically at a fine sub-national scale, which can be used to support robust understanding of COVID-19 hotspots. We continue to maintain this dataset, and an accompanying online dashboard, to provide a reliable pan-Canadian COVID-19 resource to researchers, journalists, and the general public. Measurement(s) COVID-19 Cases • COVID-19 Mortalities • COVID-19 vaccination Technology Type(s) digital curation Sample Characteristic - Organism Homo sapiens Sample Characteristic - Location Canada Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.14331311 The COVID-19 pandemic has demonstrated the need for real-time, open-access epidemiological information to inform public health decision-making and outbreak control efforts. In Canada, authority for healthcare delivery primarily lies at the provincial and territorial level; however, at the outset of the pandemic no definitive pan-Canadian COVID-19 datasets were available. The COVID-19 Canada Open Data Working Group was created to fill this crucial data gap. As a team of volunteer contributors, we collect daily COVID-19 data from a variety of governmental and non-governmental sources and curate a line-list of cases and mortality for all provinces and territories of Canada, including information on location, age, sex, travel history, and exposure, where available. We also curate time series of COVID-19 recoveries, testing, and vaccine doses administered and distributed. Data are recorded systematically at a fine sub-national scale, which can be used to support robust understanding of COVID-19 hotspots. We continue to maintain this dataset, and an accompanying online dashboard, to provide a reliable pan-Canadian COVID-19 resource to researchers, journalists, and the general public. The COVID-19 pandemic has demonstrated the need for real-time, open-access epidemiological information to inform public health decision-making and outbreak control efforts. In Canada, authority for healthcare delivery primarily lies at the provincial and territorial level; however, at the outset of the pandemic no definitive pan-Canadian COVID-19 datasets were available. The COVID-19 Canada Open Data Working Group was created to fill this crucial data gap. As a team of volunteer contributors, we collect daily COVID-19 data from a variety of governmental and non-governmental sources and curate a line-list of cases and mortality for all provinces and territories of Canada, including information on location, age, sex, travel history, and exposure, where available. We also curate time series of COVID-19 recoveries, testing, and vaccine doses administered and distributed. Data are recorded systematically at a fine sub-national scale, which can be used to support robust understanding of COVID-19 hotspots. We continue to maintain this dataset, and an accompanying online dashboard, to provide a reliable pan-Canadian COVID-19 resource to researchers, journalists, and the general public.The COVID-19 pandemic has demonstrated the need for real-time, open-access epidemiological information to inform public health decision-making and outbreak control efforts. In Canada, authority for healthcare delivery primarily lies at the provincial and territorial level; however, at the outset of the pandemic no definitive pan-Canadian COVID-19 datasets were available. The COVID-19 Canada Open Data Working Group was created to fill this crucial data gap. As a team of volunteer contributors, we collect daily COVID-19 data from a variety of governmental and non-governmental sources and curate a line-list of cases and mortality for all provinces and territories of Canada, including information on location, age, sex, travel history, and exposure, where available. We also curate time series of COVID-19 recoveries, testing, and vaccine doses administered and distributed. Data are recorded systematically at a fine sub-national scale, which can be used to support robust understanding of COVID-19 hotspots. We continue to maintain this dataset, and an accompanying online dashboard, to provide a reliable pan-Canadian COVID-19 resource to researchers, journalists, and the general public. The COVID-19 pandemic has demonstrated the need for real-time, open-access epidemiological information to inform public health decision-making and outbreak control efforts. In Canada, authority for healthcare delivery primarily lies at the provincial and territorial level; however, at the outset of the pandemic no definitive pan-Canadian COVID-19 datasets were available. The COVID-19 Canada Open Data Working Group was created to fill this crucial data gap. As a team of volunteer contributors, we collect daily COVID-19 data from a variety of governmental and non-governmental sources and curate a line-list of cases and mortality for all provinces and territories of Canada, including information on location, age, sex, travel history, and exposure, where available. We also curate time series of COVID-19 recoveries, testing, and vaccine doses administered and distributed. Data are recorded systematically at a fine sub-national scale, which can be used to support robust understanding of COVID-19 hotspots. We continue to maintain this dataset, and an accompanying online dashboard, to provide a reliable pan-Canadian COVID-19 resource to researchers, journalists, and the general public.Measurement(s)COVID-19 Cases • COVID-19 Mortalities • COVID-19 vaccinationTechnology Type(s)digital curationSample Characteristic - OrganismHomo sapiensSample Characteristic - LocationCanadaMachine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.14331311 |
| ArticleNumber | 173 |
| Author | Acharya, Kamal Fisman, David N. Sturrock, Shelby L. Tuite, Ashleigh R. Brankston, Gabrielle Kornas, Kathy Naganathan, Thivya Rossi, Tanya Obress, Lindsay Soucy, Jean-Paul R. Greer, Amy L. Van Camp, Matthew Berry, Isha Maani, Nika Wright, James E. Harish, Vinyas Simmons, Alison E. O’Neill, Meghan Xie, Xiao |
| Author_xml | – sequence: 1 givenname: Isha orcidid: 0000-0003-3138-664X surname: Berry fullname: Berry, Isha email: isha.berry@mail.utoronto.ca organization: Dalla Lana School of Public Health, University of Toronto – sequence: 2 givenname: Meghan orcidid: 0000-0001-9551-0967 surname: O’Neill fullname: O’Neill, Meghan organization: Dalla Lana School of Public Health, University of Toronto – sequence: 3 givenname: Shelby L. surname: Sturrock fullname: Sturrock, Shelby L. organization: Dalla Lana School of Public Health, University of Toronto – sequence: 4 givenname: James E. surname: Wright fullname: Wright, James E. organization: Centre for Global Child Health, The Hospital for Sick Children – sequence: 5 givenname: Kamal orcidid: 0000-0001-6707-3536 surname: Acharya fullname: Acharya, Kamal organization: Department of Population Medicine, Ontario Veterinary College, University of Guelph – sequence: 6 givenname: Gabrielle surname: Brankston fullname: Brankston, Gabrielle organization: Department of Population Medicine, Ontario Veterinary College, University of Guelph – sequence: 7 givenname: Vinyas surname: Harish fullname: Harish, Vinyas organization: Dalla Lana School of Public Health, University of Toronto, Faculty of Medicine, University of Toronto – sequence: 8 givenname: Kathy surname: Kornas fullname: Kornas, Kathy organization: Dalla Lana School of Public Health, University of Toronto – sequence: 9 givenname: Nika surname: Maani fullname: Maani, Nika organization: Department of Molecular Genetics, University of Toronto – sequence: 10 givenname: Thivya surname: Naganathan fullname: Naganathan, Thivya organization: Department of Population Medicine, Ontario Veterinary College, University of Guelph – sequence: 11 givenname: Lindsay orcidid: 0000-0002-6890-3316 surname: Obress fullname: Obress, Lindsay organization: Department of Population Medicine, Ontario Veterinary College, University of Guelph – sequence: 12 givenname: Tanya surname: Rossi fullname: Rossi, Tanya organization: Department of Population Medicine, Ontario Veterinary College, University of Guelph – sequence: 13 givenname: Alison E. orcidid: 0000-0001-8780-9467 surname: Simmons fullname: Simmons, Alison E. organization: Dalla Lana School of Public Health, University of Toronto – sequence: 14 givenname: Matthew surname: Van Camp fullname: Van Camp, Matthew organization: Department of Population Medicine, Ontario Veterinary College, University of Guelph – sequence: 15 givenname: Xiao surname: Xie fullname: Xie, Xiao organization: Department of Population Medicine, Ontario Veterinary College, University of Guelph – sequence: 16 givenname: Ashleigh R. surname: Tuite fullname: Tuite, Ashleigh R. organization: Dalla Lana School of Public Health, University of Toronto – sequence: 17 givenname: Amy L. surname: Greer fullname: Greer, Amy L. organization: Dalla Lana School of Public Health, University of Toronto, Department of Population Medicine, Ontario Veterinary College, University of Guelph – sequence: 18 givenname: David N. surname: Fisman fullname: Fisman, David N. organization: Dalla Lana School of Public Health, University of Toronto – sequence: 19 givenname: Jean-Paul R. surname: Soucy fullname: Soucy, Jean-Paul R. email: jeanpaul.soucy@mail.utoronto.ca organization: Dalla Lana School of Public Health, University of Toronto |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/34267221$$D View this record in MEDLINE/PubMed |
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| CitedBy_id | crossref_primary_10_1111_aphw_12401 crossref_primary_10_1016_j_eap_2023_03_006 crossref_primary_10_1038_s41598_023_41551_1 crossref_primary_10_1177_14604582241294208 crossref_primary_10_1136_bmjopen_2023_075858 crossref_primary_10_1016_j_psychres_2023_115267 crossref_primary_10_1093_gigascience_giaf050 crossref_primary_10_1186_s12913_024_11843_x crossref_primary_10_1371_journal_pcbi_1012324 crossref_primary_10_1016_j_jtbi_2022_111378 crossref_primary_10_3389_fpubh_2024_1406911 crossref_primary_10_2196_77893 crossref_primary_10_1016_j_ifacol_2022_10_209 crossref_primary_10_1136_bmj_2023_075665 crossref_primary_10_1155_2023_9524753 crossref_primary_10_1038_s41597_022_01669_9 crossref_primary_10_3389_fpubh_2022_907528 |
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| Copyright | The Author(s) 2021 2021. The Author(s). The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
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| References | Huang (CR1) 2020; 395 Modjarrad (CR2) 2016; 13 CR6 Enria (CR5) 2021; 16 CR17 Xu (CR7) 2020; 7 CR9 CR16 CR15 CR14 Treweek, Forouhi, Narayan, Khunti (CR18) 2020; 395 Cori (CR4) 2017; 372 CR12 Dong, Du, Gardner (CR8) 2020; 20 CR11 CR10 Kucharski, Funk, Eggo (CR3) 2020; 18 Polack (CR19) 2020; 383 Berry (CR13) 2021 955_CR14 955_CR15 C Huang (955_CR1) 2020; 395 955_CR16 955_CR17 S Treweek (955_CR18) 2020; 395 955_CR6 B Xu (955_CR7) 2020; 7 955_CR10 955_CR11 955_CR12 K Modjarrad (955_CR2) 2016; 13 955_CR9 I Berry (955_CR13) 2021 FP Polack (955_CR19) 2020; 383 L Enria (955_CR5) 2021; 16 AJ Kucharski (955_CR3) 2020; 18 A Cori (955_CR4) 2017; 372 E Dong (955_CR8) 2020; 20 |
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| Title | A sub-national real-time epidemiological and vaccination database for the COVID-19 pandemic in Canada |
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