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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
ABSTRACT
Educational attainment for women of reproductive age is linked to reduced child and maternal mortality, lower fertility and improved reproductive health. Comparable analyses of attainment exist only at the national level, potentially obscuring patterns in subnational inequality. Evidence suggests that wide disparities between urban and rural populations exist, raising questions about where the majority of progress towards the education targets of the Sustainable Development Goals is occurring in African countries. Here we explore within-country inequalities by predicting years of schooling across five by five kilometre grids, generating estimates of average educational attainment by age and sex at subnational levels. Despite marked progress in attainment from 2000 to 2015 across Africa, substantial differences persist between locations and sexes. These differences have widened in many countries, particularly across the Sahel. These high-resolution, comparable estimates improve the ability of decision-makers to plan the precisely targeted interventions that will be necessary to deliver progress during the era of the Sustainable Development Goals.
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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
Imprimir
XML
PubMed Links
Buscar no Google

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