MODELLING THE DETERMINANTS OF UNDER-FIVE CHILD MORTALITY RATES USING COX PROPORTIONAL HAZARDS REGRESSION MODEL
Keywords:Child-mortality, Covariates, Cox Regression, Kaplan Meier, P-value
An under-five childhood mortality rates in Nigeria is still high, despite efforts of government at all levels to combat the menace. This study examined some factors that significantly affect under-five child mortality. A sample of mothers with children under the age of five from Nigeria Demographic and Health Survey data (NDHS, 2013 & 2018) was used to assess the effect of some selected predictor variables (or covariates) on childhood survival. Cox proportional hazards model is essentially a regression model popularly used for investigating the association between the survival time and one or more predictor variables. The results from final fitted Cox proportional hazards regression model that the covariates, contraceptive used by the mother, state of residence, birth weight of child and type of toilet facility used by the h-ousehold were found to be significantly associated with under-five survival in the North Central Region of Nigeria. All the calculations are performed using the R software for statistical analysis.
Anderson, B. A., Romani, J. H., Phillips, H. E. and Van Zyl, J. A. (2002). Environment, Access
to Health Care, and Other Factors Affecting Infant and Child Survival in South Africa, 1989–1994. Population and Environment, 23(4), 349-364.
Antai., D., Ghilagaber, G, Wedrén, S, Macassa, G, and Moradi, T. (2009). Inequities in under-five mortality in Nigeria: differentials by religious affiliation of the mother. Journal of Relig Health. , 48(3), 290-304
Ayele, D. G., Satty, A., and Zewotir, T. (2020). Understanding the Correlates of Under-five Mortality in Sudan Using Survey Survival Models. Asian Journal of Research in Infectious Diseases, 5(1), 55-68. https://doi.org/10.9734/ajrid/2020/v5i130160
Cox D. R. (1972). Regression Model and Life Tables. Journal of Royal Statistical Society
(B), 34: 187-220
Frankenberg E. (1995).The effects of access to health care on infant mortality in
Indonesia. Health Transition Review, 5, 143-163.
Hong, R., Ayad, M., Rutstein, S and Ren, R. (2009). Childhood Mortality in Rwanda Levels,
Trends, and Differentials. Further Analysis of the Rwanda Demographic and Health Surveys, ICF Macro Calverton, Maryland, USA.
Hosmer D. W. and Lemeshow S. (1999). Applied Survival Analysis: New York USA.
Justice M. K. A. (2019) Predictive model and determinants of under-five child mortality:
evidence from the 2014 Ghana demographic and health survey. BMC public health 19:16
Kaplan E. L. and Meier P. L (1958). Non Parametric Estimation from Incomplete Observation.
Journal of American Statistical Association 53: 457-481
Kleinbaum D. G. and Klien M. (2005). Statistics for Biology and Health: Survival Analysis
A Self-Learning Text Second Edition.
Kumar, P. P. and Gremechis F. (2010). Infant and Child Mortality in Ethiopia: A Statistical
Analysis Approach, Ethiopian Journal of Education and Science, 5(2):51-7
National Population Commission. (2013) Nigerian Demographic and Health Survey NDHS
National Population Commission. (2018) Nigerian Demographic and Health Survey NDHS
Olatunji A. P and Adesina O. A. (2016). Effect of Determinants of Infant and Child Mortality in
Nigeria: Hazard and Odds Ratio Models. West African Journal of Industrial & Academic Research Vol.16 No.1 December 2016
Pandey, A, Choe, M.K., Luther, N.Y., Sahu, D. and Chand, J. (1998). Infant and Child Mortality
in India. Mumbai, India and Honolulu. USA:NFHS Subject Report No. 11. IIPS and East-West Center, Population and Health Studies.
Rietschel, C. (2018). Automated feature selection for survival analysis with deep learning [Master's thesis].
Rutstein, S. O. (2008).Further Evidence of the Effects of Preceding Birth Intervals on
Neonatal, Infant, and Under-Five-Years Mortality and Nutritional Status in Developing Countries: Evidence from the Demographic and Health Surveys.
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