• Login
    View Item 
    •   SU+ Home
    • Research and Publications
    • @iLabAfrica
    • @iLabAfrica Theses and Dissertations
    • MMTI Theses and Dissertations
    • MMTI Theses and Dissertations (2015)
    • View Item
    •   SU+ Home
    • Research and Publications
    • @iLabAfrica
    • @iLabAfrica Theses and Dissertations
    • MMTI Theses and Dissertations
    • MMTI Theses and Dissertations (2015)
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    A mobile-web application for visualizing mortality and morbidity levels in Kenyan Counties and their attributing factors: a focus on Kenya health policies

    Thumbnail
    View/Open
    Full text thesis (10.84Mb)
    Date
    2015
    Author
    Orangi, Mercy Kemunto
    Metadata
    Show full item record
    Abstract
    The ability of people to enjoy a long, healthy life is critical to a developing nation. In Kenya, the mortality and morbidity levels are high, with the World Health Organization closely linking the wide-spread disparities to underlying social, economic, gender and geographical factors. These levels can be lower, especially for a country striving to achieve a middle-income economy status. Further, any meaningful health policy or health program needs to be informed of the statistics of illnesses and deaths occurring and their causes. However, the main problem has been the lack of a clear association or connection between the illnesses and deaths reported and their attributing factors. Further, in Kenya, data on mortality and morbidity, published through various surveys, has mainly been presented in tabular form in spreadsheets and publications. This has proven to be hard to consume, let alone analyze, for purposes of informing health policy makers. In view of the above shortcomings, this study sought to establish a link between the mortality and morbidity levels in Kenyan counties and their causative factors. To understand the current state of health mortality and morbidity levels, this study looked into existing literature on the state of India’s and Kenya’s mortality and morbidity levels, with a keen focus on health policies and government initiatives. First hand data was also collected through questionnaires. Analysis of findings of the research conducted asserted the need of a visualization tool that provides dynamic, real-time manipulation of data on mortality, morbidity and their attributing factors. Consequently, a visualization tool was developed, allowing users to view the data in a more user-friendly format and further providing real-time manipulation of the data to produce user-defined visualizations, which can further be downloaded in various formats. This can, in turn, help policy makers and researchers make data-based decisions in their various studies.
    URI
    http://hdl.handle.net/11071/4871
    Collections
    • MMTI Theses and Dissertations (2015) [7]

    DSpace software copyright © 2002-2016  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    Atmire NV
     

     

    Browse

    All of SU+Communities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    Login

    DSpace software copyright © 2002-2016  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    Atmire NV