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Using national electronic health records for pandemic preparedness: validation of a parsimonious model for predicting excess deaths among those with COVID-19-a data-driven retrospective cohort study.
Mizani, Mehrdad A; Dashtban, Ashkan; Pasea, Laura; Lai, Alvina G; Thygesen, Johan; Tomlinson, Chris; Handy, Alex; Mamza, Jil B; Morris, Tamsin; Khalid, Sara; Zaccardi, Francesco; Macleod, Mary Joan; Torabi, Fatemeh; Canoy, Dexter; Akbari, Ashley; Berry, Colin; Bolton, Thomas; Nolan, John; Khunti, Kamlesh; Denaxas, Spiros; Hemingway, Harry; Sudlow, Cathie; Banerjee, Amitava.
Afiliação
  • Mizani MA; Institute of Health Informatics, University College London, London NW1 2DA, UK.
  • Dashtban A; BHF Data Science Centre, Health Data Research UK, London, NW1 2BE, UK.
  • Pasea L; Institute of Health Informatics, University College London, London NW1 2DA, UK.
  • Lai AG; Institute of Health Informatics, University College London, London NW1 2DA, UK.
  • Thygesen J; Institute of Health Informatics, University College London, London NW1 2DA, UK.
  • Tomlinson C; Institute of Health Informatics, University College London, London NW1 2DA, UK.
  • Handy A; Institute of Health Informatics, University College London, London NW1 2DA, UK.
  • Mamza JB; Institute of Health Informatics, University College London, London NW1 2DA, UK.
  • Morris T; Medical and Scientific Affairs, BioPharmaceuticals Medical, AstraZeneca, Cambridge, CB2 0AA, UK.
  • Khalid S; Medical and Scientific Affairs, BioPharmaceuticals Medical, AstraZeneca, Cambridge, CB2 0AA, UK.
  • Zaccardi F; Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, OX3 7HE, UK.
  • Macleod MJ; Leicester Diabetes Centre, University of Leicester, Leicester, LE5 4PW, UK.
  • Torabi F; School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen, AB24 3FX, UK.
  • Canoy D; Faculty of Medicine, Health and Life Science, Swansea University, Swansea, SA2 8QA, UK.
  • Akbari A; Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, OX3 9DU, UK.
  • Berry C; Faculty of Medicine, Health and Life Science, Swansea University, Swansea, SA2 8QA, UK.
  • Bolton T; Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, G12 8TA, UK.
  • Nolan J; BHF Data Science Centre, Health Data Research UK, London, NW1 2BE, UK.
  • Khunti K; BHF Data Science Centre, Health Data Research UK, London, NW1 2BE, UK.
  • Denaxas S; Leicester Diabetes Centre, University of Leicester, Leicester, LE5 4PW, UK.
  • Hemingway H; Institute of Health Informatics, University College London, London NW1 2DA, UK.
  • Sudlow C; Institute of Health Informatics, University College London, London NW1 2DA, UK.
  • Banerjee A; BHF Data Science Centre, Health Data Research UK, London, NW1 2BE, UK.
J R Soc Med ; 116(1): 10-20, 2023 01.
Article em En | MEDLINE | ID: mdl-36374585
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: COVID-19 Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans País/Região como assunto: Europa Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: COVID-19 Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans País/Região como assunto: Europa Idioma: En Ano de publicação: 2023 Tipo de documento: Article