Neonatal, Infant and Under-Five Mortality: an Application of Cox Proportional Hazard Model to Bdhs Data

S. Nilima, R. Sultana, S. Ireen
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引用次数: 7

Abstract

This study utilizes data derived from the Bangladesh demographic and health survey (BDHS), 2014 to identify the determinants of neonatal, infant and under-five mortality in Bangladesh. Log-rank test has been used for bivariate analysis. Regression analysis has been performed by applying Cox proportional hazard model to the data. It has been found from the analysis that maternal education, region, exposure to NGO activities are significant determinants of under-five and infant mortality whereas region, gender of child, child’s size at birth play significant role in reducing neonatal mortality in Bangladesh. The findings of the study suggest that policymakers should give priority on maternal education, region, and child’s size at birth as well as exposure to NGO activities to reduce neonatal, infant and under-five mortality in Bangladesh. Asiat. Soc. Bangladesh, Sci. 44(1): 7-14, June 2018
新生儿、婴儿和五岁以下儿童死亡率:Cox比例风险模型在Bdhs数据中的应用
本研究利用来自2014年孟加拉国人口与健康调查(BDHS)的数据,确定孟加拉国新生儿、婴儿和五岁以下儿童死亡率的决定因素。双变量分析采用Log-rank检验。采用Cox比例风险模型对数据进行回归分析。从分析中发现,产妇教育、地区、参与非政府组织活动是五岁以下儿童和婴儿死亡率的重要决定因素,而地区、儿童性别、出生时儿童的体型在降低孟加拉国新生儿死亡率方面发挥着重要作用。该研究的结果表明,决策者应该优先考虑产妇教育、地区和儿童出生时的大小,以及参与非政府组织的活动,以降低孟加拉国的新生儿、婴儿和五岁以下儿童死亡率。Asiat。Soc。中国科学,44(1):7-14,2018
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