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Ethnic disparities in COVID-19 outcomes: a multinational cohort study of 20 million individuals from England and Canada.
Zaccardi, Francesco; Tan, Pui San; Shah, Baiju R; Everett, Karl; Clift, Ash Kieran; Patone, Martina; Saatci, Defne; Coupland, Carol; Griffin, Simon J; Khunti, Kamlesh; Dambha-Miller, Hajira; Hippisley-Cox, Julia.
Afiliação
  • Zaccardi F; Leicester Real World Evidence Unit, Leicester Diabetes Centre, University of Leicester, Leicester, England.
  • Tan PS; Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, England.
  • Shah BR; Department of Medicine, University of Toronto; Division of Endocrinology, Sunnybrook Health Sciences Centre, Institute for Clinical Evaluative Sciences, Toronto, Canada.
  • Everett K; Department of Medicine, University of Toronto; Division of Endocrinology, Sunnybrook Health Sciences Centre, Institute for Clinical Evaluative Sciences, Toronto, Canada.
  • Clift AK; Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, England.
  • Patone M; Cancer Research UK Oxford Centre, Department of Oncology, University of Oxford, Oxford, England.
  • Saatci D; Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, England.
  • Coupland C; Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, England.
  • Griffin SJ; Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, England.
  • Khunti K; Division of Primary Care, School of Medicine, University of Nottingham, Nottingham, England.
  • Dambha-Miller H; Primary Care Unit, School of Clinical Medicine, University of Cambridge, Cambridge, England.
  • Hippisley-Cox J; MRC Epidemiology Unit, School of Clinical Medicine, University of Cambridge, Cambridge, England.
BMC Public Health ; 23(1): 399, 2023 02 27.
Article em En | MEDLINE | ID: mdl-36849983

Texto completo: 1 Base de dados: MEDLINE Assunto principal: COVID-19 Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: COVID-19 Idioma: En Ano de publicação: 2023 Tipo de documento: Article