03125ntm a2200325Ia 4500 318255 20260707210611.0 051012s2015 xx a bm 000 0 eng d ORE ORE OREV LD4330 Orangi, Mercy Kemunto Orangi, Mercy Kemunto. 415238 A mobile-web application for visualizing mortality and morbidity levels in Kenyan Counties and their attributing factors: a focus on Kenya health policies / by Mercy Kemunto Orangi. c2015. xx leaves : ill. ; 29 cm. Printout. Thesis ()--Oregon State University, . 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. Also available on the World Wide Web. Includes bibliographical references (leaves - ). Health Data Visualization. 415239 Mortality. 96021 Morbidity. 415240 Health Policies. 415241 Mobile Technology. 402410 Kenya. http://hdl.handle.net/11071/4871 TH 318255 289511