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GIS-based COVID-19 vulnerability mapping in the West Bank, Palestine
From the beginning of the COVID-19 pandemic, the world stands idly by in the face of the virus spreading. The prediction of highly vulnerable population and the implementation of proper actions are very important steps to break the infection chain of any virus. This will, in turn, reduce the economi...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8295238/ https://www.ncbi.nlm.nih.gov/pubmed/34312591 http://dx.doi.org/10.1016/j.ijdrr.2021.102483 |
_version_ | 1783725388782895104 |
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author | Shadeed, Sameer Alawna, Sandy |
author_facet | Shadeed, Sameer Alawna, Sandy |
author_sort | Shadeed, Sameer |
collection | PubMed |
description | From the beginning of the COVID-19 pandemic, the world stands idly by in the face of the virus spreading. The prediction of highly vulnerable population and the implementation of proper actions are very important steps to break the infection chain of any virus. This will, in turn, reduce the economic and social impact of this virus outbreak. In this study, the COVID-19 vulnerability map for the West Bank, Palestine was developed. Analytic Hierarchy Process (AHP) was used to develop the COVID-19 vulnerability map. The Geographic Information system (GIS) in combination with multi-criteria decision analysis (MCDA) was adopted to estimate the COVID-19 vulnerability index (CVI) based on some selected potential criteria including population, population density, elderly population, accommodation and food service activities, school students, chronic diseases, hospital beds, health insurance, and pharmacy. The results of this study show that Nablus, Jerusalem, and Hebron governorates are under very high vulnerability. Tulkarm, Ramallah & Al-Bireh and Jenin governorates are high vulnerable to COVID-19. Additionally, 82 % of the West Bank population are under high to very high COVID-19 vulnerability classes. Moreover, 14% and 4 % are medium and low to very low vulnerable, respectively. The obtained results are of high value to help decision-makers to take proper actions as early as possible mainly in the highly COVID-19 vulnerable governorates to control the risk associated with the potential outbreak of the virus and accordingly to protect social life and to sustain economic conditions. |
format | Online Article Text |
id | pubmed-8295238 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-82952382021-07-22 GIS-based COVID-19 vulnerability mapping in the West Bank, Palestine Shadeed, Sameer Alawna, Sandy Int J Disaster Risk Reduct Article From the beginning of the COVID-19 pandemic, the world stands idly by in the face of the virus spreading. The prediction of highly vulnerable population and the implementation of proper actions are very important steps to break the infection chain of any virus. This will, in turn, reduce the economic and social impact of this virus outbreak. In this study, the COVID-19 vulnerability map for the West Bank, Palestine was developed. Analytic Hierarchy Process (AHP) was used to develop the COVID-19 vulnerability map. The Geographic Information system (GIS) in combination with multi-criteria decision analysis (MCDA) was adopted to estimate the COVID-19 vulnerability index (CVI) based on some selected potential criteria including population, population density, elderly population, accommodation and food service activities, school students, chronic diseases, hospital beds, health insurance, and pharmacy. The results of this study show that Nablus, Jerusalem, and Hebron governorates are under very high vulnerability. Tulkarm, Ramallah & Al-Bireh and Jenin governorates are high vulnerable to COVID-19. Additionally, 82 % of the West Bank population are under high to very high COVID-19 vulnerability classes. Moreover, 14% and 4 % are medium and low to very low vulnerable, respectively. The obtained results are of high value to help decision-makers to take proper actions as early as possible mainly in the highly COVID-19 vulnerable governorates to control the risk associated with the potential outbreak of the virus and accordingly to protect social life and to sustain economic conditions. Elsevier Ltd. 2021-10 2021-07-22 /pmc/articles/PMC8295238/ /pubmed/34312591 http://dx.doi.org/10.1016/j.ijdrr.2021.102483 Text en © 2021 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Shadeed, Sameer Alawna, Sandy GIS-based COVID-19 vulnerability mapping in the West Bank, Palestine |
title | GIS-based COVID-19 vulnerability mapping in the West Bank, Palestine |
title_full | GIS-based COVID-19 vulnerability mapping in the West Bank, Palestine |
title_fullStr | GIS-based COVID-19 vulnerability mapping in the West Bank, Palestine |
title_full_unstemmed | GIS-based COVID-19 vulnerability mapping in the West Bank, Palestine |
title_short | GIS-based COVID-19 vulnerability mapping in the West Bank, Palestine |
title_sort | gis-based covid-19 vulnerability mapping in the west bank, palestine |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8295238/ https://www.ncbi.nlm.nih.gov/pubmed/34312591 http://dx.doi.org/10.1016/j.ijdrr.2021.102483 |
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