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Deriving and validating a risk prediction model for long COVID-19: protocol for an observational cohort study using linked Scottish data.
Daines, Luke; Mulholland, Rachel H; Vasileiou, Eleftheria; Hammersley, Vicky; Weatherill, David; Katikireddi, Srinivasa Vittal; Kerr, Steven; Moore, Emily; Pesenti, Elisa; Quint, Jennifer K; Shah, Syed Ahmar; Shi, Ting; Simpson, Colin R; Robertson, Chris; Sheikh, Aziz.
Affiliation
  • Daines L; Usher Institute, The University of Edinburgh, Edinburgh, UK luke.daines@ed.ac.uk.
  • Mulholland RH; Usher Institute, The University of Edinburgh, Edinburgh, UK.
  • Vasileiou E; Usher Institute, The University of Edinburgh, Edinburgh, UK.
  • Hammersley V; Usher Institute, The University of Edinburgh, Edinburgh, UK.
  • Weatherill D; Usher Institute, The University of Edinburgh, Edinburgh, UK.
  • Katikireddi SV; MRC/CSO Social & Public Health Sciences Unit, University of Glasgow, Glasgow, UK.
  • Kerr S; Usher Institute, The University of Edinburgh, Edinburgh, UK.
  • Moore E; Public Health Scotland, Glasgow and Edinburgh, UK.
  • Pesenti E; Institute of Cell Biology, University of Edinburgh, Edinburgh, UK.
  • Quint JK; Faculty of Medicine, National Heart and Lung Institute, Imperial College London, London, UK.
  • Shah SA; Usher Institute, The University of Edinburgh, Edinburgh, UK.
  • Shi T; Usher Institute, The University of Edinburgh, Edinburgh, UK.
  • Simpson CR; Usher Institute, The University of Edinburgh, Edinburgh, UK.
  • Robertson C; School of Health, Wellington Faculty of Health, Victoria University of Wellington, Wellington, New Zealand.
  • Sheikh A; Public Health Scotland, Glasgow and Edinburgh, UK.
BMJ Open ; 12(7): e059385, 2022 07 06.
Article in En | MEDLINE | ID: mdl-35793922
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: COVID-19 Type of study: Etiology_studies / Guideline / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Aspects: Ethics Limits: Humans Language: En Journal: BMJ Open Year: 2022 Document type: Article Affiliation country: Country of publication:
Fulltext
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XML
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: COVID-19 Type of study: Etiology_studies / Guideline / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Aspects: Ethics Limits: Humans Language: En Journal: BMJ Open Year: 2022 Document type: Article Affiliation country: Country of publication: