dc.contributor.author | Local Burden of Disease Educational Attainment Collaborators | |
dc.date.accessioned | 2022-04-11T04:54:26Z | |
dc.date.available | 2022-04-11T04:54:26Z | |
dc.date.copyright | 2019 | |
dc.date.issued | 2019-12-25 | |
dc.identifier.citation | Graetz, N., Woyczynski, L., Wilson, K. F., Hall, J. B., Abate, K. H., Abd-Allah, F., . . . Local Burden of Disease Educational Attainment Collaborators. (2020). Mapping disparities in education across low- and middle-income countries. Nature, 577(7789), 235-238. doi:10.1038/s41586-019-1872-1 | en_US |
dc.identifier.uri | http://hdl.handle.net/10361/16535 | |
dc.description | This article was published in Nature [ Copyright © 2019, The Author(s)] and the definite version is available at: https://doi.org/10.1038/s41586-019-1872-1
The Journal's website is at: https://www.nature.com/articles/s41586-019-1872-1#citeas | en_US |
dc.description.abstract | Educational attainment is an important social determinant of maternal, newborn, and
child health1–3
. As a tool for promoting gender equity, it has gained increasing traction
in popular media, international aid strategies, and global agenda-setting4–6
. 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 health9–11. 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 specifc countries, but—to our knowledge—no analysis has examined the
subnational proportions of individuals who completed specifc levels of education
across all low- and middle-income countries12–14. 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. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | Nature | en_US |
dc.relation.uri | https://www.nature.com/articles/s41586-019-1872-1#citeas | |
dc.subject | Mapping disparities in education | en_US |
dc.subject | low- and middle-income countries | en_US |
dc.title | Mapping disparities in education across low- and middle-income countries | en_US |
dc.type | Journal Article | en_US |
dc.description.version | Published | |
dc.contributor.department | Brac James P. Grant School of Public Health | |
dc.identifier.doi | https://doi.org/10.1038/s41586-019-1872-1 | |