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The Evaluation of Geographical Health Facilities Structure in Makassar City, Indonesia

Cities across the world, during the last period, have been shocked by the outbreak of the COVID-19 pandemic. The world of planning has since persevered in providing a response, in terms of how to anticipate this outbreak in the future. Various kinds of concepts have been issued, with various views a...

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Autores principales: Yudono, Adipandang, Afrianto, Firman, Hariyanto, Annisa Dira
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10049136/
https://www.ncbi.nlm.nih.gov/pubmed/36982119
http://dx.doi.org/10.3390/ijerph20065210
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author Yudono, Adipandang
Afrianto, Firman
Hariyanto, Annisa Dira
author_facet Yudono, Adipandang
Afrianto, Firman
Hariyanto, Annisa Dira
author_sort Yudono, Adipandang
collection PubMed
description Cities across the world, during the last period, have been shocked by the outbreak of the COVID-19 pandemic. The world of planning has since persevered in providing a response, in terms of how to anticipate this outbreak in the future. Various kinds of concepts have been issued, with various views and points of view. However, one of the needs for this planning is an appropriate evaluation of the geographic structure of existing health facilities, in order to properly provide consideration for future urban planning. This study attempts to provide an integrated model of how to evaluate the geographic structure of health facilities with a case study in Makassar City, Indonesia. By combining big data and spatial analysis, it is expected that it will find patterns and directions for acceptable health facilities planning.
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spelling pubmed-100491362023-03-29 The Evaluation of Geographical Health Facilities Structure in Makassar City, Indonesia Yudono, Adipandang Afrianto, Firman Hariyanto, Annisa Dira Int J Environ Res Public Health Article Cities across the world, during the last period, have been shocked by the outbreak of the COVID-19 pandemic. The world of planning has since persevered in providing a response, in terms of how to anticipate this outbreak in the future. Various kinds of concepts have been issued, with various views and points of view. However, one of the needs for this planning is an appropriate evaluation of the geographic structure of existing health facilities, in order to properly provide consideration for future urban planning. This study attempts to provide an integrated model of how to evaluate the geographic structure of health facilities with a case study in Makassar City, Indonesia. By combining big data and spatial analysis, it is expected that it will find patterns and directions for acceptable health facilities planning. MDPI 2023-03-16 /pmc/articles/PMC10049136/ /pubmed/36982119 http://dx.doi.org/10.3390/ijerph20065210 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Yudono, Adipandang
Afrianto, Firman
Hariyanto, Annisa Dira
The Evaluation of Geographical Health Facilities Structure in Makassar City, Indonesia
title The Evaluation of Geographical Health Facilities Structure in Makassar City, Indonesia
title_full The Evaluation of Geographical Health Facilities Structure in Makassar City, Indonesia
title_fullStr The Evaluation of Geographical Health Facilities Structure in Makassar City, Indonesia
title_full_unstemmed The Evaluation of Geographical Health Facilities Structure in Makassar City, Indonesia
title_short The Evaluation of Geographical Health Facilities Structure in Makassar City, Indonesia
title_sort evaluation of geographical health facilities structure in makassar city, indonesia
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10049136/
https://www.ncbi.nlm.nih.gov/pubmed/36982119
http://dx.doi.org/10.3390/ijerph20065210
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