Spatial Distribution of Health Care Facilities in City of Cape Town, South Africa

[EN] Health care in South Africa is the fourth largest item of government expenditure. Most South Africans do not have medical insurance and therefore seek medical care from public health care facilities such as public hospitals, clinics and community day centres. In City of Cape Town (CoCT), in 201...

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Detalles Bibliográficos
Autor: Er, Sebnem
Tipo de recurso: capítulo de libro
Fecha de publicación:2023
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/201699
Acceso en línea:https://riunet.upv.es/handle/10251/201699
Access Level:acceso abierto
Palabra clave:Health care facilities
Spatial distribution
Geographically weighted poisson regression
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spelling Spatial Distribution of Health Care Facilities in City of Cape Town, South AfricaEr, SebnemHealth care facilitiesSpatial distributionGeographically weighted poisson regression[EN] Health care in South Africa is the fourth largest item of government expenditure. Most South Africans do not have medical insurance and therefore seek medical care from public health care facilities such as public hospitals, clinics and community day centres. In City of Cape Town (CoCT), in 2016 there were 149 health care facilities and in 2023 this number increased to 160 facilities with an annual growth rate of 1.19%. The population in 2016 was 4 million and in 2021 it is estimated as approximately 4.76 million which indicates an annual growth rate of 3.5% between 2016 and 2021. The annual growth rate of health care facilities (primarily representing data applicable to the City of Cape Town’s Environmental Health Department) is clearly not matching the annual growth rate of the population which is potentially a big problem in a fast growing region like CoCT. The main aim of this paper is to analyse the distribution of health care facilities (clinics, hospitals) within the City of Cape Town, South Africa using spatial kernel density estimation methods and explore what factors affect the number of health care facilities within each ward using generalized linear models.Editorial Universitat Politècnica de ValènciaRepositorio Institucional de la Universitat Politècnica de València Riunet20232023-09-22book parthttp://purl.org/coar/resource_type/c_3248VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/bookPartapplication/pdfhttps://riunet.upv.es/handle/10251/201699reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Reconocimiento - No comercial - Compartir igual (by-nc-sa) http://creativecommons.org/licenses/by-nc-sa/4.0/info:eu-repo/semantics/openAccessoai:riunet.upv.es:10251/2016992026-06-13T07:49:27Z
dc.title.none.fl_str_mv Spatial Distribution of Health Care Facilities in City of Cape Town, South Africa
title Spatial Distribution of Health Care Facilities in City of Cape Town, South Africa
spellingShingle Spatial Distribution of Health Care Facilities in City of Cape Town, South Africa
Er, Sebnem
Health care facilities
Spatial distribution
Geographically weighted poisson regression
title_short Spatial Distribution of Health Care Facilities in City of Cape Town, South Africa
title_full Spatial Distribution of Health Care Facilities in City of Cape Town, South Africa
title_fullStr Spatial Distribution of Health Care Facilities in City of Cape Town, South Africa
title_full_unstemmed Spatial Distribution of Health Care Facilities in City of Cape Town, South Africa
title_sort Spatial Distribution of Health Care Facilities in City of Cape Town, South Africa
dc.creator.none.fl_str_mv Er, Sebnem
author Er, Sebnem
author_facet Er, Sebnem
author_role author
dc.contributor.none.fl_str_mv Repositorio Institucional de la Universitat Politècnica de València Riunet
dc.subject.none.fl_str_mv Health care facilities
Spatial distribution
Geographically weighted poisson regression
topic Health care facilities
Spatial distribution
Geographically weighted poisson regression
description [EN] Health care in South Africa is the fourth largest item of government expenditure. Most South Africans do not have medical insurance and therefore seek medical care from public health care facilities such as public hospitals, clinics and community day centres. In City of Cape Town (CoCT), in 2016 there were 149 health care facilities and in 2023 this number increased to 160 facilities with an annual growth rate of 1.19%. The population in 2016 was 4 million and in 2021 it is estimated as approximately 4.76 million which indicates an annual growth rate of 3.5% between 2016 and 2021. The annual growth rate of health care facilities (primarily representing data applicable to the City of Cape Town’s Environmental Health Department) is clearly not matching the annual growth rate of the population which is potentially a big problem in a fast growing region like CoCT. The main aim of this paper is to analyse the distribution of health care facilities (clinics, hospitals) within the City of Cape Town, South Africa using spatial kernel density estimation methods and explore what factors affect the number of health care facilities within each ward using generalized linear models.
publishDate 2023
dc.date.none.fl_str_mv 2023
2023-09-22
dc.type.none.fl_str_mv book part
http://purl.org/coar/resource_type/c_3248
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/bookPart
format bookPart
dc.identifier.none.fl_str_mv https://riunet.upv.es/handle/10251/201699
url https://riunet.upv.es/handle/10251/201699
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento - No comercial - Compartir igual (by-nc-sa)
http://creativecommons.org/licenses/by-nc-sa/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento - No comercial - Compartir igual (by-nc-sa)
http://creativecommons.org/licenses/by-nc-sa/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Editorial Universitat Politècnica de València
publisher.none.fl_str_mv Editorial Universitat Politècnica de València
dc.source.none.fl_str_mv reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname:Universitat Politècnica de València (UPV)
instname_str Universitat Politècnica de València (UPV)
reponame_str RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
collection RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
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