The University of Southampton
University of Southampton Institutional Repository

Mapping out-of-school adolescents and youths in low- and middle-income countries

Mapping out-of-school adolescents and youths in low- and middle-income countries
Mapping out-of-school adolescents and youths in low- and middle-income countries
Education is a human right and a driver of development, but, is still not accessible for a vast number of adolescents and school-age-youths. Out-of-school adolescents and youth rates (SDG 4.3.1) in lower and middle-income countries have been at a virtual halt for almost a decade. Thus, there is an increasing need to understand geographic variation on accessibility and school attendance to aid in reducing inequalities in education. Here, the aim was to estimate physical accessibility and secondary school non-attendance amongst adolescents and school-age youths in Tanzania, Cambodia, and the Dominican Republic. Community cluster survey data were triangulated with the spatial location of secondary schools, non-proprietary geospatial data and fine-scale population maps to estimate accessibility to all levels of secondary school education and the number of out-of-school. School attendance rates for the three countries were derived from nationally representative household survey data, and a Bayesian model-based geostatistical framework was used to estimate school attendance at high resolution. Results show a sub-national variation in accessibility and secondary school attendance rates for the three countries considered. Attendance was associated with distance to the nearest school (R2 > 70%). These findings suggest increasing the number of secondary schools could reduce the long-distance commuted to school in low-income and middle-income countries. Future work could extend these findings to fine-scale optimisation models for school location, intervention planning, and understanding barriers associated with secondary school non-attendance at the household level.
2662-9992
Alegana, V.A.
42ca5362-7e95-4d8e-8add-08bef6d57636
Pezzulo, Carla
876a5393-ffbd-479a-9edf-f72a59ca2cb5
Tatem, Andrew
6c6de104-a5f9-46e0-bb93-a1a7c980513e
Bakari, Omar
a9e5a724-1baa-4159-bed3-5b0eb99e55dd
Christensen, Andrew
e2ed0a58-2dc0-439a-b454-0b6a4dad496a
Alegana, V.A.
42ca5362-7e95-4d8e-8add-08bef6d57636
Pezzulo, Carla
876a5393-ffbd-479a-9edf-f72a59ca2cb5
Tatem, Andrew
6c6de104-a5f9-46e0-bb93-a1a7c980513e
Bakari, Omar
a9e5a724-1baa-4159-bed3-5b0eb99e55dd
Christensen, Andrew
e2ed0a58-2dc0-439a-b454-0b6a4dad496a

Alegana, V.A., Pezzulo, Carla, Tatem, Andrew, Bakari, Omar and Christensen, Andrew (2021) Mapping out-of-school adolescents and youths in low- and middle-income countries. Humanities & Social Sciences Communications, 8 (1), [213]. (doi:10.1057/s41599-021-00892-w).

Record type: Article

Abstract

Education is a human right and a driver of development, but, is still not accessible for a vast number of adolescents and school-age-youths. Out-of-school adolescents and youth rates (SDG 4.3.1) in lower and middle-income countries have been at a virtual halt for almost a decade. Thus, there is an increasing need to understand geographic variation on accessibility and school attendance to aid in reducing inequalities in education. Here, the aim was to estimate physical accessibility and secondary school non-attendance amongst adolescents and school-age youths in Tanzania, Cambodia, and the Dominican Republic. Community cluster survey data were triangulated with the spatial location of secondary schools, non-proprietary geospatial data and fine-scale population maps to estimate accessibility to all levels of secondary school education and the number of out-of-school. School attendance rates for the three countries were derived from nationally representative household survey data, and a Bayesian model-based geostatistical framework was used to estimate school attendance at high resolution. Results show a sub-national variation in accessibility and secondary school attendance rates for the three countries considered. Attendance was associated with distance to the nearest school (R2 > 70%). These findings suggest increasing the number of secondary schools could reduce the long-distance commuted to school in low-income and middle-income countries. Future work could extend these findings to fine-scale optimisation models for school location, intervention planning, and understanding barriers associated with secondary school non-attendance at the household level.

Text
s41599-021-00892-w - Version of Record
Available under License Creative Commons Attribution.
Download (1MB)

More information

Accepted/In Press date: 27 August 2021
Published date: 15 September 2021
Additional Information: Publisher Copyright: © 2021, The Author(s).

Identifiers

Local EPrints ID: 451459
URI: http://eprints.soton.ac.uk/id/eprint/451459
ISSN: 2662-9992
PURE UUID: 31b42ac1-2c13-473a-8cd7-e1fb15c11214
ORCID for Carla Pezzulo: ORCID iD orcid.org/0000-0003-4775-1787
ORCID for Andrew Tatem: ORCID iD orcid.org/0000-0002-7270-941X

Catalogue record

Date deposited: 29 Sep 2021 16:45
Last modified: 06 Jun 2024 01:51

Export record

Altmetrics

Contributors

Author: V.A. Alegana
Author: Carla Pezzulo ORCID iD
Author: Andrew Tatem ORCID iD
Author: Omar Bakari
Author: Andrew Christensen

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×