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Childhood Mortality Adjusting for Cluster Effect Study in Ghana Demographic Health Survey
Authors: Kankam Stephen, Nana Kena Frimpong, and Kofi Adagbodzo Samuel
Source: International Journal of Statistical Distributions and Applications , 3(4): 95-102; Doi: 10.11648/j.ijsd.20170304.16
Topic(s): Childhood mortality
Country: Africa
Published: DEC 2017
Abstract: In Ghana Demographic Health Survey (GDHS), information is collected on the demographic characteristics and health status which is representative sample of the entire population. The backbone for the survey is enumeration areas (EA), clusters which was done using two-stage probabilistic approach. This paper illustrates analysis of childhood mortality by adjusting for cluster effect using Generalized Estimation Equations (GEE). Ghana Demographic Survey Data -2008 (GDHS-2008) was used for the analysis. GEE model with three working correlation matrices independence, unstructured and exchangeable were adjusted for the data set. Logistic regression models and statistical tools were used to find association and select significant variables on childhood mortality. Age of mother, Total birth in last five years and region of residence were significance determinants of incidence of childhood mortality. We recommend that there should be clear policy and programs for educating, campaigning and increasing and improving health facilities. Suggestions for further study of childhood mortality were also in this paper. Keywords GEE, Childhood Mortality, Cluster, Ghana Demographic Health Survey (GDHS)