Mapping disparities in education across low- and middle-income countries
File(s)s41586-019-1872-1.pdf (16.36 MB)
Published version
Author(s)
Rawaf, Salman
Type
Journal Article
Abstract
Educational attainment is an important social determinant of maternal, newborn, and child health1,2,3. As a tool for promoting gender equity, it has gained increasing traction in popular media, international aid strategies, and global agenda-setting4,5,6. The global health agenda is increasingly focused on evidence of precision public health, which illustrates the subnational distribution of disease and illness7,8; however, an agenda focused on future equity must integrate comparable evidence on the distribution of social determinants of health9,10,11. Here we expand on the available precision SDG evidence by estimating the subnational distribution of educational attainment, including the proportions of individuals who have completed key levels of schooling, across all low- and middle-income countries from 2000 to 2017. Previous analyses have focused on geographical disparities in average attainment across Africa or for specific countries, but—to our knowledge—no analysis has examined the subnational proportions of individuals who completed specific levels of education across all low- and middle-income countries12,13,14. By geolocating subnational data for more than 184 million person-years across 528 data sources, we precisely identify inequalities across geography as well as within populations.
Date Issued
2019-12-25
Date Acceptance
2019-11-12
Citation
Nature, 2019, 577, pp.1-16
ISSN
0028-0836
Publisher
Springer Science and Business Media LLC
Start Page
1
End Page
16
Journal / Book Title
Nature
Volume
577
Copyright Statement
© The Author(s) 2019. This article is licensed under a Creative Commons Attribution
4.0 International License, which permits use, sharing, adaptation, distribution
and reproduction in any medium or format, as long as you give appropriate
credit to the original author(s) and the source, provide a link to the Creative Commons license,
and indicate if changes were made. The images or other third party material in this article are
included in the article’s Creative Commons license, unless indicated otherwise in a credit line
to the material. If material is not included in the article’s Creative Commons license and your
intended use is not permitted by statutory regulation or exceeds the permitted use, you will
need to obtain permission directly from the copyright holder. To view a copy of this license,
visit http://creativecommons.org/licenses/by/4.0/.
4.0 International License, which permits use, sharing, adaptation, distribution
and reproduction in any medium or format, as long as you give appropriate
credit to the original author(s) and the source, provide a link to the Creative Commons license,
and indicate if changes were made. The images or other third party material in this article are
included in the article’s Creative Commons license, unless indicated otherwise in a credit line
to the material. If material is not included in the article’s Creative Commons license and your
intended use is not permitted by statutory regulation or exceeds the permitted use, you will
need to obtain permission directly from the copyright holder. To view a copy of this license,
visit http://creativecommons.org/licenses/by/4.0/.
Identifier
https://www.nature.com/articles/s41586-019-1872-1
Subjects
Science & Technology
Multidisciplinary Sciences
Science & Technology - Other Topics
MORTALITY
ATTAINMENT
AFRICA
MODELS
HEALTH
WORLD
Science & Technology
Multidisciplinary Sciences
Science & Technology - Other Topics
MORTALITY
ATTAINMENT
AFRICA
MODELS
HEALTH
WORLD
Bayes Theorem
Developing Countries
Education
Female
Health Status
Humans
Male
Socioeconomic Factors
Local Burden of Disease Educational Attainment Collaborators
Humans
Bayes Theorem
Health Status
Developing Countries
Socioeconomic Factors
Education
Female
Male
General Science & Technology
Publication Status
Published
Date Publish Online
2019-12-25