Your browser doesn't support javascript.
loading
Estimating excess 1-year mortality associated with the COVID-19 pandemic according to underlying conditions and age: a population-based cohort study.
Banerjee, Amitava; Pasea, Laura; Harris, Steve; Gonzalez-Izquierdo, Arturo; Torralbo, Ana; Shallcross, Laura; Noursadeghi, Mahdad; Pillay, Deenan; Sebire, Neil; Holmes, Chris; Pagel, Christina; Wong, Wai Keong; Langenberg, Claudia; Williams, Bryan; Denaxas, Spiros; Hemingway, Harry.
Afiliação
  • Banerjee A; Institute of Health Informatics, University College London, London, UK; University College London Hospitals NHS Trust, London, UK; Barts Health NHS Trust, The Royal London Hospital, London, UK. Electronic address: ami.banerjee@ucl.ac.uk.
  • Pasea L; Institute of Health Informatics, University College London, London, UK.
  • Harris S; University College London Hospitals NHS Trust, London, UK.
  • Gonzalez-Izquierdo A; Institute of Health Informatics, University College London, London, UK.
  • Torralbo A; Institute of Health Informatics, University College London, London, UK.
  • Shallcross L; Institute of Health Informatics, University College London, London, UK.
  • Noursadeghi M; Division of Infection and Immunity, University College London, London, UK.
  • Pillay D; Division of Infection and Immunity, University College London, London, UK.
  • Sebire N; Great Ormond Street Hospital, London, UK.
  • Holmes C; University of Oxford, Oxford, UK; Alan Turing Institute, London, UK.
  • Pagel C; Clinical Operational Research Unit, University College London, London, UK.
  • Wong WK; University College London Hospitals NHS Trust, London, UK.
  • Langenberg C; MRC Epidemiology Unit, University of Cambridge, Cambridge, UK.
  • Williams B; Institute of Cardiovascular Science, University College London, London, UK; University College London Hospitals NHS Trust, London, UK; University College London Hospitals National Institute for Health Research Biomedical Research Centre, London, UK.
  • Denaxas S; Institute of Health Informatics, University College London, London, UK; Alan Turing Institute, London, UK; Health Data Research UK, London, UK.
  • Hemingway H; Institute of Health Informatics, University College London, London, UK; Health Data Research UK, London, UK.
Lancet ; 395(10238): 1715-1725, 2020 05 30.
Article em En | MEDLINE | ID: mdl-32405103

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Pneumonia Viral / Mortalidade / Infecções por Coronavirus Tipo de estudo: Etiology_studies / Guideline / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged País/Região como assunto: Europa Idioma: En Revista: Lancet Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Pneumonia Viral / Mortalidade / Infecções por Coronavirus Tipo de estudo: Etiology_studies / Guideline / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged País/Região como assunto: Europa Idioma: En Revista: Lancet Ano de publicação: 2020 Tipo de documento: Article