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Socioeconomic inequalities of Long COVID: a retrospective population-based cohort study in the United Kingdom.
Shabnam, Sharmin; Razieh, Cameron; Dambha-Miller, Hajira; Yates, Tom; Gillies, Clare; Chudasama, Yogini V; Pareek, Manish; Banerjee, Amitava; Kawachi, Ichiro; Lacey, Ben; Morris, Eva Ja; White, Martin; Zaccardi, Francesco; Khunti, Kamlesh; Islam, Nazrul.
Afiliación
  • Shabnam S; Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, LE5 4PW, UK.
  • Razieh C; Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, LE5 4PW, UK.
  • Dambha-Miller H; Diabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester, LE5 4PW, UK.
  • Yates T; NIHR Leicester Biomedical Research Centre (BRC), University Hospitals of Leicester NHS Trust and University of Leicester, Leicester, LE5 4PW, UK.
  • Gillies C; Office for National Statistics, Newport, NP10 8XG, UK.
  • Chudasama YV; Primary Care Research Centre, Faculty of Medicine, University of Southampton, SO16 5ST, UK.
  • Pareek M; Diabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester, LE5 4PW, UK.
  • Banerjee A; NIHR Leicester Biomedical Research Centre (BRC), University Hospitals of Leicester NHS Trust and University of Leicester, Leicester, LE5 4PW, UK.
  • Kawachi I; Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, LE5 4PW, UK.
  • Lacey B; Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, LE5 4PW, UK.
  • Morris EJ; Department of Respiratory Sciences, University of Leicester, Leicester, LE1 9HN, UK.
  • White M; Institute of Health Informatics, University College London, London, NW1 2DA, UK.
  • Zaccardi F; Harvard TH Chan School of Public Health, Harvard University, Boston, MA 02115, USA.
  • Khunti K; Nuffield Department of Population Health, Big Data Institute, University of Oxford, Oxford, OX3 7LF, UK.
  • Islam N; Nuffield Department of Population Health, Big Data Institute, University of Oxford, Oxford, OX3 7LF, UK.
J R Soc Med ; 116(8): 263-273, 2023 08.
Article en En | MEDLINE | ID: mdl-37164035
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: COVID-19 Tipo de estudio: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Female / Humans / Male País/Región como asunto: Europa Idioma: En Revista: J R Soc Med Año: 2023 Tipo del documento: Article País de afiliación: Reino Unido
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: COVID-19 Tipo de estudio: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Female / Humans / Male País/Región como asunto: Europa Idioma: En Revista: J R Soc Med Año: 2023 Tipo del documento: Article País de afiliación: Reino Unido