Understanding the Geographical Distribution of Stunting in Tanzania : A Geospatial Analysis of the 2015-16 Demographic and Health Survey
Tanzania is home to the third highest population of stunted children in Sub-Saharan Africa, with about 2.7 million children under the age of five failing to reach their full potential of growth attainment compared with the reference population as p...
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| Format: | Working Paper |
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World Bank, Washington, DC
2019
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| Online Access: | http://documents.worldbank.org/curated/en/834741546530273286/Understanding-the-Geographical-Distribution-of-Stunting-in-Tanzania-A-Geospatial-Analysis-of-the-2015-16-Demographic-and-Health-Survey http://hdl.handle.net/10986/31091 |
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okr-10986-310912022-05-21T06:14:59Z Understanding the Geographical Distribution of Stunting in Tanzania : A Geospatial Analysis of the 2015-16 Demographic and Health Survey Joseph, George Gething, Peter W. Bhatt, Samir Ayling, Sophie C.E. DEMOGRAPHIC AND HEALTH SURVEY STUNTING GEOSPATIAL ECONOMICS GEO-STATISTICS HEALTH POLICY Tanzania is home to the third highest population of stunted children in Sub-Saharan Africa, with about 2.7 million children under the age of five failing to reach their full potential of growth attainment compared with the reference population as per the World Health Organization standards. Several studies have shown that stunted growth during childhood entraps the future of children in a vicious circle of recurrent diseases, reduced human development, and lower earnings, thus increasing their likelihood of being poor when they grow up. To reduce stunting, the Government of Tanzania and development partners are introducing a convergence of multisectoral interventions adapted to local needs. However, the existing stunting data are representative only at higher administrative levels, thus making it difficult to implement these efforts. The paper uses the 2016 geo-referenced Demographic and Health Survey in conjunction with relevant spatially gridded covariate data, such as nighttime lights, water and sanitation access, vegetation index, travel time, and so on. Geospatial techniques, such as model-based statistics and Bayesian inference implemented using the INLA algorithm, along with appropriate model validation exercises are employed to develop high-resolution maps of stunting in Tanzania at 1×1-kilometer spatial resolution. The maps show that areas of consistently high stunting rates tend to be more common in rural parts of the country, especially throughout the western and southwestern border areas. There is high prevalence of low stunting in the urban areas around Dar es Salaam, Arusha, and Dodoma, as well as in the south of Lake Victoria. 2019-01-03T17:24:54Z 2019-01-03T17:24:54Z 2019-01 Working Paper http://documents.worldbank.org/curated/en/834741546530273286/Understanding-the-Geographical-Distribution-of-Stunting-in-Tanzania-A-Geospatial-Analysis-of-the-2015-16-Demographic-and-Health-Survey http://hdl.handle.net/10986/31091 English Policy Research Working Paper;No. 8688 CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo World Bank World Bank, Washington, DC Publications & Research Publications & Research :: Policy Research Working Paper Africa Tanzania |
| repository_type |
Digital Repository |
| institution_category |
Foreign Institution |
| institution |
Digital Repositories |
| building |
World Bank Open Knowledge Repository |
| collection |
World Bank |
| language |
English |
| topic |
DEMOGRAPHIC AND HEALTH SURVEY STUNTING GEOSPATIAL ECONOMICS GEO-STATISTICS HEALTH POLICY |
| spellingShingle |
DEMOGRAPHIC AND HEALTH SURVEY STUNTING GEOSPATIAL ECONOMICS GEO-STATISTICS HEALTH POLICY Joseph, George Gething, Peter W. Bhatt, Samir Ayling, Sophie C.E. Understanding the Geographical Distribution of Stunting in Tanzania : A Geospatial Analysis of the 2015-16 Demographic and Health Survey |
| geographic_facet |
Africa Tanzania |
| relation |
Policy Research Working Paper;No. 8688 |
| description |
Tanzania is home to the third highest
population of stunted children in Sub-Saharan Africa, with
about 2.7 million children under the age of five failing to
reach their full potential of growth attainment compared
with the reference population as per the World Health
Organization standards. Several studies have shown that
stunted growth during childhood entraps the future of
children in a vicious circle of recurrent diseases, reduced
human development, and lower earnings, thus increasing their
likelihood of being poor when they grow up. To reduce
stunting, the Government of Tanzania and development
partners are introducing a convergence of multisectoral
interventions adapted to local needs. However, the existing
stunting data are representative only at higher
administrative levels, thus making it difficult to implement
these efforts. The paper uses the 2016 geo-referenced
Demographic and Health Survey in conjunction with relevant
spatially gridded covariate data, such as nighttime lights,
water and sanitation access, vegetation index, travel time,
and so on. Geospatial techniques, such as model-based
statistics and Bayesian inference implemented using the INLA
algorithm, along with appropriate model validation exercises
are employed to develop high-resolution maps of stunting in
Tanzania at 1×1-kilometer spatial resolution. The maps show
that areas of consistently high stunting rates tend to be
more common in rural parts of the country, especially
throughout the western and southwestern border areas. There
is high prevalence of low stunting in the urban areas around
Dar es Salaam, Arusha, and Dodoma, as well as in the south
of Lake Victoria. |
| format |
Working Paper |
| author |
Joseph, George Gething, Peter W. Bhatt, Samir Ayling, Sophie C.E. |
| author_facet |
Joseph, George Gething, Peter W. Bhatt, Samir Ayling, Sophie C.E. |
| author_sort |
Joseph, George |
| title |
Understanding the Geographical Distribution of Stunting in Tanzania : A Geospatial Analysis of the 2015-16 Demographic and Health Survey |
| title_short |
Understanding the Geographical Distribution of Stunting in Tanzania : A Geospatial Analysis of the 2015-16 Demographic and Health Survey |
| title_full |
Understanding the Geographical Distribution of Stunting in Tanzania : A Geospatial Analysis of the 2015-16 Demographic and Health Survey |
| title_fullStr |
Understanding the Geographical Distribution of Stunting in Tanzania : A Geospatial Analysis of the 2015-16 Demographic and Health Survey |
| title_full_unstemmed |
Understanding the Geographical Distribution of Stunting in Tanzania : A Geospatial Analysis of the 2015-16 Demographic and Health Survey |
| title_sort |
understanding the geographical distribution of stunting in tanzania : a geospatial analysis of the 2015-16 demographic and health survey |
| publisher |
World Bank, Washington, DC |
| publishDate |
2019 |
| url |
http://documents.worldbank.org/curated/en/834741546530273286/Understanding-the-Geographical-Distribution-of-Stunting-in-Tanzania-A-Geospatial-Analysis-of-the-2015-16-Demographic-and-Health-Survey http://hdl.handle.net/10986/31091 |
| _version_ |
1764473592525881344 |