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A Spatial, Temporal, and Geographic Analysis of the Increasing Incidence of Dengue Fever in Kenya and Africa

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dc.contributor.advisor Waters, Nigel M.
dc.contributor.author Attaway, David Frost
dc.creator Attaway, David Frost en_US
dc.date.accessioned 2014-09-18T01:56:11Z
dc.date.available 2014-09-18T01:56:11Z
dc.date.issued 2014-05 en_US
dc.identifier.uri https://hdl.handle.net/1920/8894
dc.description.abstract While many studies have focused on the causes of dengue fever and the occurrence of specific outbreaks, little research has focused on the increasing spatial range, increasing incidence of infected individuals, and the use of algorithms/models to increase risk mapping in Kenya and Africa. GIS incorporates methods to evaluate results, identify geographic locations, and incorporate risk when dengue occurrence data are limited. This dissertation first outlines the limitations to dengue mapping then examines the strengths, weaknesses, opportunities, and threats (SWOT) to determine the limitations for mapping. Next, a similarity search approach was used to map dengue risk in Kenya. This method estimated the high and low risk areas for dengue by evaluating the similarity between environmental layers, population density, and elevation with respect to dengue and mosquito occurrence points. This analysis identified the most cost-effective locations to target dengue prevention activities such as vector control and public awareness campaigns. Finally, a PAT approach was used to map dengue susceptibility across the African continent using the Query Expression Editor and QFit tools. High susceptible risk areas were estimated by comparing peer reviewed literature, determining susceptibility for risk, and then improving the visualization through mapping. The Query Expression Editor evaluated dengue susceptibility risk based on environmental high risk parameters. The QFit tool provided a methodology to estimate high susceptibility risk between points of occurrence and a set of raster datasets. This dissertation contributes to improving risk analysis and susceptibility risk for disease through the localized visualization of risk and situational awareness between health officials, geographers, epidemiologists, and entomologists.
dc.format.extent 110 pages en_US
dc.language.iso en en_US
dc.rights Copyright 2014 David Frost Attaway en_US
dc.subject Geography en_US
dc.subject Geographic information science and geodesy en_US
dc.subject Epidemiology en_US
dc.subject Climate change en_US
dc.subject dengue en_US
dc.subject developing countries en_US
dc.subject geographic information science en_US
dc.subject medical geography en_US
dc.subject risk mapping en_US
dc.title A Spatial, Temporal, and Geographic Analysis of the Increasing Incidence of Dengue Fever in Kenya and Africa en_US
dc.type Dissertation en
thesis.degree.level Doctoral en
thesis.degree.discipline Earth Systems and Geoinformation Sciences en
thesis.degree.grantor George Mason University en


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