|dc.description.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.||en_US