Using GIS to evaluate the impact of the built environment on health in “Brown’s Farm” Philippi

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dc.contributor.advisorSmit, Julianen_ZA
dc.contributor.authorLetoao, Nthoeseleen_ZA
dc.date.accessioned2015-07-03T08:28:31Z
dc.date.available2015-07-03T08:28:31Z
dc.date.issued2014en_ZA
dc.descriptionIncludes bibliographical references.en_ZA
dc.description.abstractThis thesis uses a spatial epidemiology approach to investigate clusters of diseases across formal and informal built environments in "Brown’s Farm" Philippi. Health data were analysed using cluster detection methods in geographic information systems to identify diseases hotspots. The identified clusters were then examined against environmental, spatial, and socio-economic variables. Data from the Desmond Tutu HIVIAIDS Foundation database, census and questionnaires were used. Even though most of the disease clusters were found in the informal part of the study area, the data showed very limited variation in the distribution of diseases clusters across the study area.en_ZA
dc.identifier.apacitationLetoao, N. (2014). <i>Using GIS to evaluate the impact of the built environment on health in “Brown’s Farm” Philippi</i>. (Thesis). University of Cape Town ,Faculty of Engineering & the Built Environment ,School of Architecture, Planning and Geomatics. Retrieved from http://hdl.handle.net/11427/13333en_ZA
dc.identifier.chicagocitationLetoao, Nthoesele. <i>"Using GIS to evaluate the impact of the built environment on health in “Brown’s Farm” Philippi."</i> Thesis., University of Cape Town ,Faculty of Engineering & the Built Environment ,School of Architecture, Planning and Geomatics, 2014. http://hdl.handle.net/11427/13333en_ZA
dc.identifier.citationLetoao, N. 2014. Using GIS to evaluate the impact of the built environment on health in “Brown’s Farm” Philippi. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Letoao, Nthoesele AB - This thesis uses a spatial epidemiology approach to investigate clusters of diseases across formal and informal built environments in "Brown’s Farm" Philippi. Health data were analysed using cluster detection methods in geographic information systems to identify diseases hotspots. The identified clusters were then examined against environmental, spatial, and socio-economic variables. Data from the Desmond Tutu HIVIAIDS Foundation database, census and questionnaires were used. Even though most of the disease clusters were found in the informal part of the study area, the data showed very limited variation in the distribution of diseases clusters across the study area. DA - 2014 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2014 T1 - Using GIS to evaluate the impact of the built environment on health in “Brown’s Farm” Philippi TI - Using GIS to evaluate the impact of the built environment on health in “Brown’s Farm” Philippi UR - http://hdl.handle.net/11427/13333 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/13333
dc.identifier.vancouvercitationLetoao N. Using GIS to evaluate the impact of the built environment on health in “Brown’s Farm” Philippi. [Thesis]. University of Cape Town ,Faculty of Engineering & the Built Environment ,School of Architecture, Planning and Geomatics, 2014 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/13333en_ZA
dc.language.isoengen_ZA
dc.publisher.departmentSchool of Architecture, Planning and Geomaticsen_ZA
dc.publisher.facultyFaculty of Engineering and the Built Environment
dc.publisher.institutionUniversity of Cape Town
dc.subject.otherArchitecture, Planning and Geomaticsen_ZA
dc.titleUsing GIS to evaluate the impact of the built environment on health in “Brown’s Farm” Philippien_ZA
dc.typeMaster Thesis
dc.type.qualificationlevelMasters
dc.type.qualificationnameMSc (Eng)en_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceThesisen_ZA
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