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

  • Sue C. Grady | gradys@msu.edu Department 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, MI, United States.
  • April N. Frake Center for Global Change and Earth Observation, Michigan State University, East Lansing, MI, United States.
  • Qiong Zhang Global Health and Medical Geography Lab, Department of Geography, Environment and Spatial Sciences, Michigan State University, Lansing, MI, United States.
  • Matlhogonolo Bene Global Health and Medical Geography Lab, Department of Geography, Environment and Spatial Sciences, Michigan State University, Lansing, MI, United States.
  • Demetrice R. Jordan Center for Global Change and Earth Observation, Michigan State University, East Lansing, MI, United States.
  • Joshua Vertalka Department of Geography, Environment and Spatial Sciences, Michigan State University, East Lansing, MI, United States.
  • Thania C. Dossantos Global Health and Medical Geography Lab, Department of Geography, Environment and Spatial Sciences, Michigan State University, Lansing, MI, United States.
  • Ameen Kadhim Department of Geography, Environment and Spatial Sciences, Michigan State University, East Lansing, MI, United States.
  • Judith Namanya Department of Geography, Environment and Spatial Sciences, Michigan State University, East Lansing, MI, United States.
  • Lisa-Marie Pierre Department of Geography, Environment and Spatial Sciences, Michigan State University, East Lansing, MI, United States.
  • Yi Fan Department of Geography, Environment and Spatial Sciences, Michigan State University, East Lansing, MI, United States.
  • Peiling Zhou Global Health and Medical Geography Lab, Department of Geography, Environment and Spatial Sciences, Michigan State University, Lansing, MI, United States.
  • Fatoumata B. Barry Global Health and Medical Geography Lab, Department of Geography, Environment and Spatial Sciences, Michigan State University, Lansing, MI, United States.
  • Libbey Kutch Global Health and Medical Geography Lab, Department of Geography, Environment and Spatial Sciences, Michigan State University, Lansing, MI, United States.

Abstract

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) care around the time of delivery, ii) maternal education, and iii) women’s empowerment. 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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Author Biography

Sue C. Grady, Department 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, MI

Associate Professor, Health and Medical Geography

My research focuses on health disparities, in particular adverse maternal and child health outcomes.  I utilize GIS and spatial epidemiological methods to conduct surveillance and to investigate the etiology of diseases and adverse health conditions.

Published
2017-05-26
Section
Original Articles
Keywords:
Neonatal mortality, Sustainable development goals, Geographically weighted Poisson regression, Sub-Saharan Africa
Statistics
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How to Cite
Grady, S., Frake, A., Zhang, Q., Bene, M., Jordan, D., Vertalka, J., Dossantos, T., Kadhim, A., Namanya, J., Pierre, L.-M., Fan, Y., Zhou, P., Barry, F., & Kutch, L. (2017). Neonatal mortality in East Africa and West Africa: a geographic analysis of district-level demographic and health survey data. Geospatial Health, 12(1). https://doi.org/10.4081/gh.2017.501