Mapping disparities in education across low- and middle-income countries

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http://hdl.handle.net/10138/317763

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Local Burden Dis Educ Attainment C , Graetz , N , Woyczynski , L , Wilson , K F & Meretoja , T J 2020 , ' Mapping disparities in education across low- and middle-income countries ' , Nature , vol. 577 , no. 7789 , pp. 235-238 . https://doi.org/10.1038/s41586-019-1872-1

Title: Mapping disparities in education across low- and middle-income countries
Author: Local Burden Dis Educ Attainment C; Graetz, Nicholas; Woyczynski, Lauren; Wilson, Katherine F.; Meretoja, Tuomo J.
Contributor: University of Helsinki, Institute for Molecular Medicine Finland
Date: 2020-01-09
Language: eng
Number of pages: 14
Belongs to series: Nature
ISSN: 0028-0836
URI: http://hdl.handle.net/10138/317763
Abstract: Analyses of the proportions of individuals who have completed key levels of schooling across all low- and middle-income countries from 2000 to 2017 reveal inequalities across countries as well as within populations. Educational attainment is an important social determinant of maternal, newborn, and child health(1-3). As a tool for promoting gender equity, it has gained increasing traction in popular media, international aid strategies, and global agenda-setting(4-6). The global health agenda is increasingly focused on evidence of precision public health, which illustrates the subnational distribution of disease and illness(7,8); however, an agenda focused on future equity must integrate comparable evidence on the distribution of social determinants of health(9-11). 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 countries(12-14). 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.
Subject: MORTALITY
ATTAINMENT
AFRICA
MODELS
HEALTH
WORLD
3141 Health care science
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