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dc.contributor.authorLocal Burden of Disease Educational Attainment Collaborators
dc.date.accessioned2022-04-11T04:54:26Z
dc.date.available2022-04-11T04:54:26Z
dc.date.copyright2019
dc.date.issued2019-12-25
dc.identifier.citationGraetz, 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/s41586-019-1872-1en_US
dc.identifier.urihttp://hdl.handle.net/10361/16535
dc.descriptionThis 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#citeasen_US
dc.description.abstractEducational 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.isoen_USen_US
dc.publisherNatureen_US
dc.relation.urihttps://www.nature.com/articles/s41586-019-1872-1#citeas
dc.subjectMapping disparities in educationen_US
dc.subjectlow- and middle-income countriesen_US
dc.titleMapping disparities in education across low- and middle-income countriesen_US
dc.typeJournal Articleen_US
dc.description.versionPublished
dc.contributor.departmentBrac James P. Grant School of Public Health
dc.identifier.doihttps://doi.org/10.1038/s41586-019-1872-1


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