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Mapping local variation in educational attainment across Africa.
Graetz, Nicholas; Friedman, Joseph; Osgood-Zimmerman, Aaron; Burstein, Roy; Biehl, Molly H; Shields, Chloe; Mosser, Jonathan F; Casey, Daniel C; Deshpande, Aniruddha; Earl, Lucas; Reiner, Robert C; Ray, Sarah E; Fullman, Nancy; Levine, Aubrey J; Stubbs, Rebecca W; Mayala, Benjamin K; Longbottom, Joshua; Browne, Annie J; Bhatt, Samir; Weiss, Daniel J; Gething, Peter W; Mokdad, Ali H; Lim, Stephen S; Murray, Christopher J L; Gakidou, Emmanuela; Hay, Simon I.
Afiliação
  • Graetz N; Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington 98121, USA.
  • Friedman J; Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington 98121, USA.
  • Osgood-Zimmerman A; Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington 98121, USA.
  • Burstein R; Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington 98121, USA.
  • Biehl MH; Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington 98121, USA.
  • Shields C; Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington 98121, USA.
  • Mosser JF; Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington 98121, USA.
  • Casey DC; Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington 98121, USA.
  • Deshpande A; Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington 98121, USA.
  • Earl L; Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington 98121, USA.
  • Reiner RC; Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington 98121, USA.
  • Ray SE; Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington 98121, USA.
  • Fullman N; Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington 98121, USA.
  • Levine AJ; Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington 98121, USA.
  • Stubbs RW; Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington 98121, USA.
  • Mayala BK; Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington 98121, USA.
  • Longbottom J; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford OX3 7FZ, UK.
  • Browne AJ; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford OX3 7FZ, UK.
  • Bhatt S; Department of Infectious Disease Epidemiology, Imperial College London, London SW7 2AZ, UK.
  • Weiss DJ; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford OX3 7FZ, UK.
  • Gething PW; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford OX3 7FZ, UK.
  • Mokdad AH; Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington 98121, USA.
  • Lim SS; Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington 98121, USA.
  • Murray CJL; Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington 98121, USA.
  • Gakidou E; Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington 98121, USA.
  • Hay SI; Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington 98121, USA.
Nature ; 555(7694): 48-53, 2018 02 28.
Article em En | MEDLINE | ID: mdl-29493588

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Escolaridade Tipo de estudo: Prognostic_studies Limite: Adolescent / Adult / Female / Humans / Male / Middle aged País/Região como assunto: Africa Idioma: En Revista: Nature Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Escolaridade Tipo de estudo: Prognostic_studies Limite: Adolescent / Adult / Female / Humans / Male / Middle aged País/Região como assunto: Africa Idioma: En Revista: Nature Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Estados Unidos