The geo-spatial distribution of childhood diarrheal disease in West Africa, 2008-2013: A covariate-adjusted cluster analysis.

Gillian Dunn, Glen D Johnson
Author Information
  1. Gillian Dunn: City University of New York Graduate School of Public Health and Health Policy, 55 W 125th St, New York, NY 10027, USA. Electronic address: gdunn@hpu.edu.
  2. Glen D Johnson: City University of New York Graduate School of Public Health and Health Policy, 55 W 125th St, New York, NY 10027, USA. Electronic address: glen.johnson@sph.cuny.edu.

Abstract

diarrhea is a major cause of morbidity and mortality among children in West Africa. To determine whether there are areas of heightened risk and if so, how they may be influenced by household and climatic variables, we describe the geo-spatial distribution of childhood diarrhea in ten countries of West Africa for the period 2008-2013 using data from Demographic and Health Surveys. The purely spatial scan statistic was applied, where the observed diarrhea cases were modeled as a Poisson variable and were compared to expected cases predicted from non-spatial logistic regression. Covariate-adjusted cluster analysis detected statistically significant clusters (p < 0.05) in ten cities and thirteen largely rural areas. Areas with particularly high relative risk included Cotonou, Benin (7.16), and Kaduna, Nigeria (7.21). The study demonstrates the importance of development and adaptation measures to protect child health, and that these interventions should be tailored to meet the needs of specific populations.

Keywords

MeSH Term

Africa, Western
Child Health Services
Child, Preschool
Cluster Analysis
Demography
Diarrhea, Infantile
Female
Humans
Infant
Infant Mortality
Infant, Newborn
Male
Medically Underserved Area
Socioeconomic Factors
Spatio-Temporal Analysis

Word Cloud

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