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A sub-national real-time epidemiological and vaccination database for the COVID-19 pandemic in Canada.
Berry, Isha; O'Neill, Meghan; Sturrock, Shelby L; Wright, James E; Acharya, Kamal; Brankston, Gabrielle; Harish, Vinyas; Kornas, Kathy; Maani, Nika; Naganathan, Thivya; Obress, Lindsay; Rossi, Tanya; Simmons, Alison E; Van Camp, Matthew; Xie, Xiao; Tuite, Ashleigh R; Greer, Amy L; Fisman, David N; Soucy, Jean-Paul R.
Afiliação
  • Berry I; Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada. isha.berry@mail.utoronto.ca.
  • O'Neill M; Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.
  • Sturrock SL; Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.
  • Wright JE; Centre for Global Child Health, The Hospital for Sick Children, Toronto, Ontario, Canada.
  • Acharya K; Department of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph, Ontario, Canada.
  • Brankston G; Department of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph, Ontario, Canada.
  • Harish V; Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.
  • Kornas K; Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
  • Maani N; Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.
  • Naganathan T; Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada.
  • Obress L; Department of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph, Ontario, Canada.
  • Rossi T; Department of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph, Ontario, Canada.
  • Simmons AE; Department of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph, Ontario, Canada.
  • Van Camp M; Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.
  • Xie X; Department of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph, Ontario, Canada.
  • Tuite AR; Department of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph, Ontario, Canada.
  • Greer AL; Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.
  • Fisman DN; Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.
  • Soucy JR; Department of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph, Ontario, Canada.
Sci Data ; 8(1): 173, 2021 07 15.
Article em En | MEDLINE | ID: mdl-34267221
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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Bases de Dados Factuais / Vacinação / COVID-19 Tipo de estudo: Prognostic_studies Limite: Humans País/Região como assunto: America do norte Idioma: En Revista: Sci Data Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Canadá

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Bases de Dados Factuais / Vacinação / COVID-19 Tipo de estudo: Prognostic_studies Limite: Humans País/Região como assunto: America do norte Idioma: En Revista: Sci Data Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Canadá