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dc.contributor.authorKibet, Moses K
dc.date.accessioned2013-05-20T08:19:48Z
dc.date.available2013-05-20T08:19:48Z
dc.date.issued1981
dc.identifier.citationMaster of Scienceen
dc.identifier.urihttp://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/23859
dc.description.abstractThis study is concerned with the investigation of the factors that influence infant/or early childhood mortality at the macro level. The factors investigated include the following district level variables: per-cent women with five or more standards of education; percent cases of malaria; hospital beds per 1000 persons; total fertility; population to health facility ratio; per capita high potential agricultural land as a proxy for rural income; kilometres of roads per 1000 square kilometres as a proxy for socio-econo[lic development; percent urban; and population densityo The investigation is divided into six chapters. Chapter 1 gives the historical background of mortality in the developing countries, Africa and Kenya in particularo Chapter 11 discusses and presents all the data utilized in ttis research. Chapter 111 describes the models used in this studyo Chapter IV is the analysis of infant/or child nortality differentials and their correlates in Kenya. Chapter V examines the relationship between infant/or child mortality and the educational levels of mothers. Chapter VI gives a sUInmary of the findings, conclusions and recommendations for further studieso This is followed by appendices and references/bibliographyo A multivariate analysis was used to examine the 1979 mortality differentials in Kenya by districtc Data for all the variables by districts were gat-her-eadn.d.r-egr-sesdon wasvper-f'ormed on these datao It was found that a significant correlation exists between infant/or child mortality and education and malaria variableso The reSults for the other ex) variables were rather inconclusive. Only four out of nIne variables considered explained 52.5 percent of the variation present In the mortality index as compared to 59.4 percent explained by all the variables together. These variables were as• follows: women's education, malaria, agriculture and population density. The district data analysed in this study revealed that the variations in child mortality levels by district are partly a result of the existing educational differentials among the districts. Indeed, inter-regional differentials in mortality appeared to persist even after controlling for differences in Ivomen's educational levels. Thus vomens education plays a major role as a major factor in mortality decline only. All the hypothesized relationships were confinned except for the 'hospital beds' variables whose positive relationship with child mortality as suggested by the regress ron results, was not anticipateden
dc.language.isoenen
dc.publisherUniversity of Nairobien
dc.titleDifferential mortality in Kenyaen
dc.typeThesisen
local.publisherDepartment of population Studiesen


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