Neonatal mortality in East Africa and West Africa: a geographic analysis of district-level demographic and health survey data

Under-five child mortality declined 47% since 2000 following the implementation of the United Nation’s (UN) Millennium Development Goals. To further reduce under-five child mortality, the UN’s Sustainable Development Goals (SDGs) will focus on interventions to address neonatal mortality, a major con...

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Main Authors: Sue C. Grady, April N. Frake, Qiong Zhang, Matlhogonolo Bene, Demetrice R. Jordan, Joshua Vertalka, Thania C. Dossantos, Ameen Kadhim, Judith Namanya, Lisa-Marie Pierre, Yi Fan, Peiling Zhou, Fatoumata B. Barry, Libbey Kutch
Format: Article
Language:English
Published: PAGEPress Publications 2017-05-01
Series:Geospatial Health
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Online Access:http://geospatialhealth.net/index.php/gh/article/view/501
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author Sue C. Grady
April N. Frake
Qiong Zhang
Matlhogonolo Bene
Demetrice R. Jordan
Joshua Vertalka
Thania C. Dossantos
Ameen Kadhim
Judith Namanya
Lisa-Marie Pierre
Yi Fan
Peiling Zhou
Fatoumata B. Barry
Libbey Kutch
author_facet Sue C. Grady
April N. Frake
Qiong Zhang
Matlhogonolo Bene
Demetrice R. Jordan
Joshua Vertalka
Thania C. Dossantos
Ameen Kadhim
Judith Namanya
Lisa-Marie Pierre
Yi Fan
Peiling Zhou
Fatoumata B. Barry
Libbey Kutch
author_sort Sue C. Grady
collection DOAJ
description Under-five child mortality declined 47% since 2000 following the implementation of the United Nation’s (UN) Millennium Development Goals. To further reduce under-five child mortality, the UN’s Sustainable Development Goals (SDGs) will focus on interventions to address neonatal mortality, a major contributor of under-five mortality. The African region has the highest neonatal mortality rate (28.0 per 1000 live births), followed by that of the Eastern Mediterranean (26.6) and South-East Asia (24.3). This study used the Demographic and Health Survey Birth Recode data (http://dhsprogram.com/data/File-Types-and-Names.cfm) to identify high-risk districts and countries for neonatal mortality in two sub-regions of Africa – East Africa and West Africa. Geographically weighted Poisson regression models were estimated to capture the spatially varying relationships between neonatal mortality and dimensions of potential need i) <em>care around the time of delivery</em>, ii) <em>maternal education</em>, and iii) <em>women’s empowerment</em>. In East Africa, neonatal mortality was significantly associated with home births, mothers without an education and mothers whose husbands decided on contraceptive practices, controlling for rural residency. In West Africa, neonatal mortality was also significantly associated with home births, mothers with a primary education and mothers who did not want or plan their last child. Importantly, neonatal mortality associated with home deliveries were explained by maternal exposure to unprotected water sources in East Africa and older maternal age and female sex of infants in West Africa. Future SDG-interventions may target these dimensions of need in priority high-risk districts and countries, to further reduce the burden of neonatal mortality in Africa.
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spelling doaj.art-24655bbb6156488b9e14f9fb88d8abd22022-12-22T01:47:34ZengPAGEPress PublicationsGeospatial Health1827-19871970-70962017-05-0112110.4081/gh.2017.501420Neonatal mortality in East Africa and West Africa: a geographic analysis of district-level demographic and health survey dataSue C. Grady0April N. Frake1Qiong Zhang2Matlhogonolo Bene3Demetrice R. Jordan4Joshua Vertalka5Thania C. Dossantos6Ameen Kadhim7Judith Namanya8Lisa-Marie Pierre9Yi Fan10Peiling Zhou11Fatoumata B. Barry12Libbey Kutch13Department of Geography, Environment and Spatial Sciences, Michigan State University, East Lansing, MI; Global Health and Medical Geography Lab, Department of Geography, Environment and Spatial Sciences, Michigan State University, Lansing, MICenter for Global Change and Earth Observation, Michigan State University, East Lansing, MIGlobal Health and Medical Geography Lab, Department of Geography, Environment and Spatial Sciences, Michigan State University, Lansing, MIGlobal Health and Medical Geography Lab, Department of Geography, Environment and Spatial Sciences, Michigan State University, Lansing, MICenter for Global Change and Earth Observation, Michigan State University, East Lansing, MIDepartment of Geography, Environment and Spatial Sciences, Michigan State University, East Lansing, MIGlobal Health and Medical Geography Lab, Department of Geography, Environment and Spatial Sciences, Michigan State University, Lansing, MIDepartment of Geography, Environment and Spatial Sciences, Michigan State University, East Lansing, MIDepartment of Geography, Environment and Spatial Sciences, Michigan State University, East Lansing, MIDepartment of Geography, Environment and Spatial Sciences, Michigan State University, East Lansing, MIDepartment of Geography, Environment and Spatial Sciences, Michigan State University, East Lansing, MIGlobal Health and Medical Geography Lab, Department of Geography, Environment and Spatial Sciences, Michigan State University, Lansing, MIGlobal Health and Medical Geography Lab, Department of Geography, Environment and Spatial Sciences, Michigan State University, Lansing, MIGlobal Health and Medical Geography Lab, Department of Geography, Environment and Spatial Sciences, Michigan State University, Lansing, MIUnder-five child mortality declined 47% since 2000 following the implementation of the United Nation’s (UN) Millennium Development Goals. To further reduce under-five child mortality, the UN’s Sustainable Development Goals (SDGs) will focus on interventions to address neonatal mortality, a major contributor of under-five mortality. The African region has the highest neonatal mortality rate (28.0 per 1000 live births), followed by that of the Eastern Mediterranean (26.6) and South-East Asia (24.3). This study used the Demographic and Health Survey Birth Recode data (http://dhsprogram.com/data/File-Types-and-Names.cfm) to identify high-risk districts and countries for neonatal mortality in two sub-regions of Africa – East Africa and West Africa. Geographically weighted Poisson regression models were estimated to capture the spatially varying relationships between neonatal mortality and dimensions of potential need i) <em>care around the time of delivery</em>, ii) <em>maternal education</em>, and iii) <em>women’s empowerment</em>. In East Africa, neonatal mortality was significantly associated with home births, mothers without an education and mothers whose husbands decided on contraceptive practices, controlling for rural residency. In West Africa, neonatal mortality was also significantly associated with home births, mothers with a primary education and mothers who did not want or plan their last child. Importantly, neonatal mortality associated with home deliveries were explained by maternal exposure to unprotected water sources in East Africa and older maternal age and female sex of infants in West Africa. Future SDG-interventions may target these dimensions of need in priority high-risk districts and countries, to further reduce the burden of neonatal mortality in Africa.http://geospatialhealth.net/index.php/gh/article/view/501Neonatal mortalitySustainable development goalsGeographically weighted Poisson regressionSub-Saharan Africa
spellingShingle Sue C. Grady
April N. Frake
Qiong Zhang
Matlhogonolo Bene
Demetrice R. Jordan
Joshua Vertalka
Thania C. Dossantos
Ameen Kadhim
Judith Namanya
Lisa-Marie Pierre
Yi Fan
Peiling Zhou
Fatoumata B. Barry
Libbey Kutch
Neonatal mortality in East Africa and West Africa: a geographic analysis of district-level demographic and health survey data
Geospatial Health
Neonatal mortality
Sustainable development goals
Geographically weighted Poisson regression
Sub-Saharan Africa
title Neonatal mortality in East Africa and West Africa: a geographic analysis of district-level demographic and health survey data
title_full Neonatal mortality in East Africa and West Africa: a geographic analysis of district-level demographic and health survey data
title_fullStr Neonatal mortality in East Africa and West Africa: a geographic analysis of district-level demographic and health survey data
title_full_unstemmed Neonatal mortality in East Africa and West Africa: a geographic analysis of district-level demographic and health survey data
title_short Neonatal mortality in East Africa and West Africa: a geographic analysis of district-level demographic and health survey data
title_sort neonatal mortality in east africa and west africa a geographic analysis of district level demographic and health survey data
topic Neonatal mortality
Sustainable development goals
Geographically weighted Poisson regression
Sub-Saharan Africa
url http://geospatialhealth.net/index.php/gh/article/view/501
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