Volume 6, Issue 3, June 2020, Page: 90-98
Modeling Covariates of Infant and Child Mortality in Kenya
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
Received: May 22, 2019;       Accepted: Jul. 9, 2019;       Published: Aug. 4, 2020
DOI: 10.11648/j.ijdsa.20200603.13      View  117      Downloads  37
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.
Reference
[1]
Akanni A. O and Fulasi “Determinants of Child Mortality in Rural Nigeria,” World Rural Observations 4 (2): 38–45.
[2]
Clara Lemani (2013) University of Cape town.
[3]
Cornelius Mwisa Mutangili published on Population Studies and Research Institute University of Nairobi Kenya.
[4]
Daniel Mwangi Muriithi: American Journal of Theoretical and Applied Statistics Vol. 4 – No. 5. Pp 404–413.
[5]
Eduardo V., Lara Misegades" International Journal of Epidemiology '2005 34: 61-68 Vol. 34 no. 1.
[6]
Ghosh, R and Bharati 2010"Determinants of infant and child mortality in periurbban areas of kolkala city India"Asoa -pacific journal of public health 22.
[7]
Hisham. E. M and Clifford, O (2008) "Socio-economic Determinants of Infant Mortality in Kenya".
[8]
Kayonde, G A 2012 Risk Factors and Predictive Model for under-five Mortality in Nigeria. Biomed Central, Pregnancy and Child Birth. 12 (10).
[9]
Mustafa, H. E and C Odimegwu. 2008 "Socio economic determinants of infant mortality in Kenya. Analysis of kenya DHS 2003" Humanities and social sciences 2 (2) 1-16.
[10]
Mutinga, C. S 2007. Environmental determinants of child mortality in kenya. katajanokanlaituri 6B, 00160 Helsinki Finland 6B: world institute for.
[11]
Mwangi Wambugu University of Nairobi (2012) Nairobi. Unpublished thesis.
[12]
Newel, M. H, Brahmhatt and P. D Ghys 2004,"child mortality and HIV infection in Africa: review", AIDS 18 (2): 527-534.
[13]
Ndirangu, J. M. Newel, C Thorne and R Bland 2012 Treating H. I. V infected mother reduces under five years of age mortality to levels seen in children of H. I. V uninfected mothers in rural south Africa "Antiviral therapy."17: 81-90.
[14]
Souza, E. M. 2012 "The impact of HIV on fertility in Malawi" unpublished thesis university of cape town.
[15]
USAID (2014) written by Joy Fishel, Ruilin Ren Bernard Barrere.
[16]
UNICEF (2011), HIV and AIDS estimates Geneva, Switzerland.
Browse journals by subject