Your browser doesn't support javascript.
loading
Impact of COVID-19 pandemic on incidence of long-term conditions in Wales: a population data linkage study using primary and secondary care health records.
Qi, Cathy; Osborne, Tim; Bailey, Rowena; Cooper, Alison; Hollinghurst, Joe P; Akbari, Ashley; Crowder, Ruth; Peters, Holly; Law, Rebecca-Jane; Lewis, Ruth; Smith, Deb; Edwards, Adrian; Lyons, Ronan A.
Afiliação
  • Qi C; Population Data Science, Swansea University Medical School, Faculty of Medicine, Health & Life Science, Swansea University, Swansea.
  • Osborne T; Population Data Science, Swansea University Medical School, Faculty of Medicine, Health & Life Science, Swansea University, Swansea.
  • Bailey R; Population Data Science, Swansea University Medical School, Faculty of Medicine, Health & Life Science, Swansea University, Swansea.
  • Cooper A; Wales COVID-19 Evidence Centre, Division of Population Medicine, Cardiff University, Cardiff.
  • Hollinghurst JP; Population Data Science, Swansea University Medical School, Faculty of Medicine, Health & Life Science, Swansea University, Swansea.
  • Akbari A; Population Data Science, Swansea University Medical School, Faculty of Medicine, Health & Life Science, Swansea University, Swansea.
  • Crowder R; Directorate of Primary Care and Mental Health, Health and Social Services Group, Welsh Government, Cardiff.
  • Peters H; Centre for Medical Education, Cardiff University, Cardiff.
  • Law RJ; Technical Advisory Cell, Health and Social Services Group, Welsh Government, Cardiff.
  • Lewis R; North Wales Centre for Primary Care Research, PRIME Centre Wales, Bangor University, Bangor.
  • Smith D; Wales COVID-19 Evidence Centre, Division of Population Medicine, Cardiff University, Cardiff.
  • Edwards A; Wales COVID-19 Evidence Centre, Division of Population Medicine, Cardiff University, Cardiff.
  • Lyons RA; Population Data Science, Swansea University Medical School, Faculty of Medicine, Health & Life Science, Swansea University, Swansea.
Br J Gen Pract ; 73(730): e332-e339, 2023 05.
Article em En | MEDLINE | ID: mdl-37105743
Assuntos
Palavras-chave
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Diabetes Mellitus Tipo 2 / COVID-19 Tipo de estudo: Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans País 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 Base de dados: MEDLINE Assunto principal: Diabetes Mellitus Tipo 2 / COVID-19 Tipo de estudo: Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans País como assunto: Europa Idioma: En Ano de publicação: 2023 Tipo de documento: Article