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dc.contributor.authorWanjoh, Stephen M
dc.contributor.authorMuriithi, Daniel M
dc.date.accessioned2023-09-22T10:17:56Z
dc.date.available2023-09-22T10:17:56Z
dc.date.issued2020-08
dc.identifier.citationInternational Journal of Data Science and Analysisen_US
dc.identifier.urihttp://repository.tharaka.ac.ke/xmlui/handle/1/4282
dc.description.abstractMortality 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 indexen_US
dc.language.isoen_USen_US
dc.subjectInfanten_US
dc.subjectMortalityen_US
dc.subjectCovariatesen_US
dc.titleModeling Covariates of Infant and Child Mortality in Kenyaen_US
dc.typeArticleen_US


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