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Location-Allocation Model to Improve the Distribution of COVID-19 Vaccine Centers in Jeddah City, Saudi Arabia

The correct distribution of service facilities can help keep fixed and overhead costs low while increasing accessibility. When an appropriate location is chosen, public-sector facilities, such as COVID-19 centers, can save lives faster and provide high-quality service to the community at a low cost....

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Autores principales: Alhothali, Areej, Alwated, Budoor, Faisal, Kamil, Alshammari, Sultanah, Alotaibi, Reem, Alghanmi, Nusaybah, Bamasag, Omaimah, Bin Yamin, Manal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9316340/
https://www.ncbi.nlm.nih.gov/pubmed/35886608
http://dx.doi.org/10.3390/ijerph19148755
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author Alhothali, Areej
Alwated, Budoor
Faisal, Kamil
Alshammari, Sultanah
Alotaibi, Reem
Alghanmi, Nusaybah
Bamasag, Omaimah
Bin Yamin, Manal
author_facet Alhothali, Areej
Alwated, Budoor
Faisal, Kamil
Alshammari, Sultanah
Alotaibi, Reem
Alghanmi, Nusaybah
Bamasag, Omaimah
Bin Yamin, Manal
author_sort Alhothali, Areej
collection PubMed
description The correct distribution of service facilities can help keep fixed and overhead costs low while increasing accessibility. When an appropriate location is chosen, public-sector facilities, such as COVID-19 centers, can save lives faster and provide high-quality service to the community at a low cost. The purpose of the research is to highlight the issues related to the location of COVID-19 vaccine centers in the city of Jeddah, Saudi Arabia. In particular, this paper aims to analyze the accessibility of COVID-19 vaccine centers in Jeddah city using maximal coverage location problems with and without constraint on the number and capacity of facilities. A maximal coverage model is first used to analyze the COVID-19 vaccination coverage of Jeddah districts with no restriction on the facility capacity. Then, a maximize capacitated coverage method is utilized to assess the centers’ distribution and demand coverage with capacity constraints. Finally, the minimize facilities model is used to identify the most optimal location required to satisfy all demand points with the least number of facilities. The optimization approaches consider the objective function of minimizing the overall transportation time and travel distance to reduce wastage on the service rate provided to the patients. The optimization model is applied to a real-world case study in the context of the COVID-19 vaccination center in Jeddah. The results of this study provide valuable information that can help decision-makers locate and relocate COVID-19 centers more effectively under different constraints conditions.
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spelling pubmed-93163402022-07-27 Location-Allocation Model to Improve the Distribution of COVID-19 Vaccine Centers in Jeddah City, Saudi Arabia Alhothali, Areej Alwated, Budoor Faisal, Kamil Alshammari, Sultanah Alotaibi, Reem Alghanmi, Nusaybah Bamasag, Omaimah Bin Yamin, Manal Int J Environ Res Public Health Article The correct distribution of service facilities can help keep fixed and overhead costs low while increasing accessibility. When an appropriate location is chosen, public-sector facilities, such as COVID-19 centers, can save lives faster and provide high-quality service to the community at a low cost. The purpose of the research is to highlight the issues related to the location of COVID-19 vaccine centers in the city of Jeddah, Saudi Arabia. In particular, this paper aims to analyze the accessibility of COVID-19 vaccine centers in Jeddah city using maximal coverage location problems with and without constraint on the number and capacity of facilities. A maximal coverage model is first used to analyze the COVID-19 vaccination coverage of Jeddah districts with no restriction on the facility capacity. Then, a maximize capacitated coverage method is utilized to assess the centers’ distribution and demand coverage with capacity constraints. Finally, the minimize facilities model is used to identify the most optimal location required to satisfy all demand points with the least number of facilities. The optimization approaches consider the objective function of minimizing the overall transportation time and travel distance to reduce wastage on the service rate provided to the patients. The optimization model is applied to a real-world case study in the context of the COVID-19 vaccination center in Jeddah. The results of this study provide valuable information that can help decision-makers locate and relocate COVID-19 centers more effectively under different constraints conditions. MDPI 2022-07-19 /pmc/articles/PMC9316340/ /pubmed/35886608 http://dx.doi.org/10.3390/ijerph19148755 Text en © 2022 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
Alhothali, Areej
Alwated, Budoor
Faisal, Kamil
Alshammari, Sultanah
Alotaibi, Reem
Alghanmi, Nusaybah
Bamasag, Omaimah
Bin Yamin, Manal
Location-Allocation Model to Improve the Distribution of COVID-19 Vaccine Centers in Jeddah City, Saudi Arabia
title Location-Allocation Model to Improve the Distribution of COVID-19 Vaccine Centers in Jeddah City, Saudi Arabia
title_full Location-Allocation Model to Improve the Distribution of COVID-19 Vaccine Centers in Jeddah City, Saudi Arabia
title_fullStr Location-Allocation Model to Improve the Distribution of COVID-19 Vaccine Centers in Jeddah City, Saudi Arabia
title_full_unstemmed Location-Allocation Model to Improve the Distribution of COVID-19 Vaccine Centers in Jeddah City, Saudi Arabia
title_short Location-Allocation Model to Improve the Distribution of COVID-19 Vaccine Centers in Jeddah City, Saudi Arabia
title_sort location-allocation model to improve the distribution of covid-19 vaccine centers in jeddah city, saudi arabia
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9316340/
https://www.ncbi.nlm.nih.gov/pubmed/35886608
http://dx.doi.org/10.3390/ijerph19148755
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