Bayesian Semi-Parametric Regression Analysis of Childhood Malnutrition in Gamo Gofa Zone: The Social and Economic Impact of Child Undernutrition
American Journal of Theoretical and Applied Statistics
Volume 4, Issue 4, July 2015, Pages: 269-276
Received: May 20, 2015;
Accepted: Jun. 6, 2015;
Published: Jun. 19, 2015
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Tilahun Ferede Asena, Department of Statistics, Arba Minch University, Arba Minch, Ethiopia
Derbachew Asfaw Teni, Department of Statistics, Arba Minch University, Arba Minch, Ethiopia
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Major progress has been made over the last decades in reducing the prevalence of malnutrition amongst children less than 5 years of age in developing countries. Approximately 27% of children under the age of 5 in these countries are still malnourished. This work focuses on the childhood malnutrition in Gamo Gofa Zone, Ethiopia. This study examined the association between demographic and socioeconomic determinants and the malnutrition problem in children less than 5 years of age using Data obtained from both rural and urban sampled surveys conducted in sample Woredas from December 1 to January 5, 2013. The study on the Child undernutrition and underweight prevalence in Gamo Gofa has allowed us to quantify the negative impacts of child undernutrition in both social and economic terms. The results revealed that as many as 75% of all cases of child undernutrition and its related pathologies go untreated. It is also observed that about 35% of the health costs associated with undernutrition occur before the child turns 1 year-old. Generally, The results of the analysis show that place of residence, employment status of mother, employment status of partners, educational status of mothers, diarrhea, household economic level and source of drinking water were found to be the most important determinants of health/nutritional status of children. The study revealed that socio-economic, demographic and health and environmental variables have significant effects on the nutritional and health status of children in Ethiopia.
Bayesian Models, Childhood Malnutrition, Ethiopia, Gamo Gofa Zone
To cite this article
Tilahun Ferede Asena,
Derbachew Asfaw Teni,
Bayesian Semi-Parametric Regression Analysis of Childhood Malnutrition in Gamo Gofa Zone: The Social and Economic Impact of Child Undernutrition, American Journal of Theoretical and Applied Statistics.
Vol. 4, No. 4,
2015, pp. 269-276.
Besag, J., York, Y. and Mollie, A. (1991). Bayesian Image Restoration with two Applications
Brezger, A. and Lang S. (2006). Generalized Structured Additive Regression based on Bayesian P-Splines. Computational Statistics and Data Analysis, Vol 50,P. 967-991.
CSA (2011).Ethiopian Demographic and Health Survey. Addis Ababa.
Fahrmeir, L. and Lang, S. (2001). Bayesian Inference for Generalized Additive Mixed Models Based on Markov Random Field Priors. Applied Statistics (JRSS C), Vol 50, P. 201‐220.
Fahrmeir, L. and Lang, S. (2001a). Bayesian Inference for Generalized Additive MixedModels Based on Markov Random Field Priors. Applied Statistics (JRSS C), 50, 201-220.
Fahrmeir, L. and Lang, S. (2004). Bayesian Semiparametric Regression Analysis of Multicategorical Time-Space Data.To appear in Ann. Inst. Statist.Math.in Spatial Statistics (with discussion). Ann. Inst. Statist. Math., 43, 1-59.
Kammann EE, Wand MP. Geoadditive Models.Journal of the Royal Statistical Society C. 2003; 52: 1-18.
Khaled, K. (2010). Child Malnutrition in Egypt Using Geoadditive Gaussian and Latent Variable Models.
Lang, S. and Brezger, A. (2001).Bayesian P-Splines. SFB 386 Discussion Paper No. 236. University of Munich.
Mila, A.L.; Yang, X.B. and Carriquiry, A.L. (2003).Bayesian Logistic Regression of Clinical Epidemiology for Uncertainty in Parameter Estimation. Basic Science for Clinical Medicine: Little, Brown and Company, Boston.