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Modeling Covariates of Infant and Child Mortality in Kenya
International Journal of Data Science and Analysis
Volume 6, Issue 3, June 2020, Pages: 90-98
Received: May 22, 2019; Accepted: Jul. 9, 2019; Published: Aug. 4, 2020
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Authors
Stephen Muthii Wanjohi, Department Statistics and Actuarial Science, Jommo Kenyatta University of Agriculture and Technology, Nairobi, Kenya
Daniel Mwangi Muriithi, Department Statistics and Actuarial Science, Moi University, Eldoret, Kenya
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Abstract
Mortality of children under the age of five has been target of public health policies. There has been a significant decline in under-five mortality in the twenty first century in almost all countries several studies have been conducted to identify covariates of Infant and Child Mortality in Kenya but none of these used recent data and none has included HIV/AIDs as a risk factor. This study aims at examining bio-demographic, socio-economic and environmental mortality in Kenya. Two methods of the logistic regression and survival analysis method are used. The results of the study show that HIV status of the mother and lengths of the preceding birth interval were significantly associated with both Infant and Child Mortality. Other significant covariates include birth order, age of the mother at birth of the child, sex of the child, education of the mother and father and wealth index.
Keywords
Infant, Mortality, Covariates
To cite this article
Stephen Muthii Wanjohi, Daniel Mwangi Muriithi, Modeling Covariates of Infant and Child Mortality in Kenya, International Journal of Data Science and Analysis. Vol. 6, No. 3, 2020, pp. 90-98. doi: 10.11648/j.ijdsa.20200603.13
Copyright
Copyright © 2020 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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