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Please use this identifier to cite or link to this item: http://repositorio.insp.mx:8080/jspui/handle/20.500.12096/8134
Title: Mapping disparities in education across low- and middle-income countries
Keywords: Bayes Theorem Developing Countries Education, Female Health Status, Humans Male Socioeconomic Factors
Issue Date: 2020
Publisher: ESPM INSP
Abstract: 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 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 countries12-14. 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.
URI: sicabi.insp.mx:2020-None
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7015853/pdf/41586_2019_Article_1872.pdf
https://www.doi.org/10.1038/s41586-019-1872-1
http://repositorio.insp.mx:8080/jspui/handle/20.500.12096/8134
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