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dc.contributor.authorMuriithi, Elvis
dc.date.accessioned2019-01-07T06:25:01Z
dc.date.available2019-01-07T06:25:01Z
dc.date.issued2018
dc.identifier.urihttp://hdl.handle.net/11071/6233
dc.descriptionThesis submitted in partial fulfillment of the requirements for the Degree of Master of Science in Statistical Sciences (MSc.SS) at Strathmore Universityen_US
dc.description.abstractTuberculosis (TB) is the ninth leading cause of death worldwide and the leading cause from a single infectious agent, ranking above HIV/AIDS. Despite being preventable and curable, tuberculosis (TB) is the leading cause of death from infectious disease globally, with nearly 10 million people developing TB and 1.5 million people dying from TB in 2014. Among teenagers, it is a top fifteen cause of mortality. Much emphasis in terms of TB surveillance is given to adults especially people living with HIV. This study provides a spatial model to determine the dynamics of TB epidemic among the notified teenage TB cases in Kenya over three years (2013, 2014 and 2015). Conditional autoregressive model emerges as the best model compared to generalized mixed model. Our results show that TB incidence remained constant over time and there is no much variation by sex. We found significance pattern of TB epidemic by counties.en_US
dc.language.isoenen_US
dc.publisherStrathmore Universityen_US
dc.subjectTeenage TB Casesen_US
dc.subjectSpatial Analysis--TB Cases--Kenyaen_US
dc.titleSpatial analysis of tuberculosis amongst teenagers in Kenyaen_US
dc.typeThesisen_US


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