• Login
    • Login
    Advanced Search
    View Item 
    •   UoN Digital Repository Home
    • Theses and Dissertations
    • Faculty of Science & Technology (FST)
    • View Item
    •   UoN Digital Repository Home
    • Theses and Dissertations
    • Faculty of Science & Technology (FST)
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Use Of The Shared Frailty Model To Identify The Determinants Of Infant And Child Survival In Rwanda Using DHS Data

    Thumbnail
    Date
    2009
    Author
    Niragire, Francois
    Type
    Thesis
    Language
    en
    Metadata
    Show full item record

    Abstract
    The infant and child mortality have much fluctuated in Rwanda since the year 1992 and decreased considerably during 5 years preceding the 2005 RDHS. However, the current indicators are still high compared to the goals to achieve and current global standards while factors that have contributed to the observed achievements remain not well known and diverse resources invested in improving the children's health conditions keep becoming more scarce. Therefore, it is very important to ascertain the key determinants of infant and child survival in Rwanda and hence mark out the sectors that should be prioritized in order to realize more improvements of under age five children's survival with limited resources. The analysis of semi-parametric gamma shared frailty models utilized to analyze separately infant and child mortality in Rwanda revealed that frailty effects were significant in childhood while its effects in infancy were not significant. The causes of deaths in infancy and childhood were quite different. The hazard rates and hazard ratios indicated that infant deaths were strongly related to proximate and biological factors including place of delivery, preceding birth interval and mother's age at child's birth while child deaths were at a very large extent due to socioeconomic and demographic factors such as household socioeconomic status being the most important determinant and province of residence the least. Key socioeconomic determinants of infant mortality were mother partner's education and household's socioeconomic status. Multiple births were at higher risk of-death than others both in infancy and childhood but the risk decreases with age.
    URI
    http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/26352
    Citation
    Master of Science (Social Statistics)
    Publisher
    University of Nairobi
     
    School of Mathematics
     
    Collections
    • Faculty of Science & Technology (FST) [4213]

    Copyright © 2022 
    University of Nairobi Library
    Contact Us | Send Feedback

     

     

    Useful Links
    UON HomeLibrary HomeKLISC

    Browse

    All of UoN Digital RepositoryCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    LoginRegister

    Copyright © 2022 
    University of Nairobi Library
    Contact Us | Send Feedback