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A neighborhood-level analysis of association between social vulnerability and COVID-19 in ahvaz, Iran
Social vulnerability and society's resilience are two concepts frequently used to examine the capacity of social systems to prepare, absorb, and adapt to environmental hazards and shocks. With the emergence of the COVID-19 pandemic, the role of social vulnerability in dealing with risks has gai...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9788993/ https://www.ncbi.nlm.nih.gov/pubmed/36589205 http://dx.doi.org/10.1016/j.ijdrr.2022.103504 |
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author | Arvin, Mahmoud Beiki, Parisa Zanganeh Shahraki, Saeed |
author_facet | Arvin, Mahmoud Beiki, Parisa Zanganeh Shahraki, Saeed |
author_sort | Arvin, Mahmoud |
collection | PubMed |
description | Social vulnerability and society's resilience are two concepts frequently used to examine the capacity of social systems to prepare, absorb, and adapt to environmental hazards and shocks. With the emergence of the COVID-19 pandemic, the role of social vulnerability in dealing with risks has gained renewed attention. Assessing social vulnerability can help managers and planners prioritize budgets, develop prevention programs, and enhance risk preparedness. This study aimed to determine the association between social vulnerability and COVID-19 in the neighborhoods of Ahvaz, Iran. To assess the social vulnerability of Ahvaz neighborhoods, decision-making techniques (best-worst method and weighted aggregated sum product assessment method) and geographic information systems were applied. Moreover, to investigate the relationship between social vulnerability and COVID-19 cases, the Pearson correlation test was used. The results showed that the ‘20-meteri shahrdari’ neighborhood has the highest level of social vulnerability, and the lowest level of social vulnerability among the neighborhoods of Ahvaz belongs to the neighborhood of ‘Shahrak Naft’. There is a low inverse association between the integrated index of social vulnerability and the incidence of COVID-19 per 1000 people in Ahvaz. By revealing the most important details at the neighborhood level and levels of vulnerability, the results can inform effective planning actions at the neighborhood level. |
format | Online Article Text |
id | pubmed-9788993 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-97889932022-12-27 A neighborhood-level analysis of association between social vulnerability and COVID-19 in ahvaz, Iran Arvin, Mahmoud Beiki, Parisa Zanganeh Shahraki, Saeed Int J Disaster Risk Reduct Article Social vulnerability and society's resilience are two concepts frequently used to examine the capacity of social systems to prepare, absorb, and adapt to environmental hazards and shocks. With the emergence of the COVID-19 pandemic, the role of social vulnerability in dealing with risks has gained renewed attention. Assessing social vulnerability can help managers and planners prioritize budgets, develop prevention programs, and enhance risk preparedness. This study aimed to determine the association between social vulnerability and COVID-19 in the neighborhoods of Ahvaz, Iran. To assess the social vulnerability of Ahvaz neighborhoods, decision-making techniques (best-worst method and weighted aggregated sum product assessment method) and geographic information systems were applied. Moreover, to investigate the relationship between social vulnerability and COVID-19 cases, the Pearson correlation test was used. The results showed that the ‘20-meteri shahrdari’ neighborhood has the highest level of social vulnerability, and the lowest level of social vulnerability among the neighborhoods of Ahvaz belongs to the neighborhood of ‘Shahrak Naft’. There is a low inverse association between the integrated index of social vulnerability and the incidence of COVID-19 per 1000 people in Ahvaz. By revealing the most important details at the neighborhood level and levels of vulnerability, the results can inform effective planning actions at the neighborhood level. Elsevier Ltd. 2023-02-01 2022-12-24 /pmc/articles/PMC9788993/ /pubmed/36589205 http://dx.doi.org/10.1016/j.ijdrr.2022.103504 Text en © 2022 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 Arvin, Mahmoud Beiki, Parisa Zanganeh Shahraki, Saeed A neighborhood-level analysis of association between social vulnerability and COVID-19 in ahvaz, Iran |
title | A neighborhood-level analysis of association between social vulnerability and COVID-19 in ahvaz, Iran |
title_full | A neighborhood-level analysis of association between social vulnerability and COVID-19 in ahvaz, Iran |
title_fullStr | A neighborhood-level analysis of association between social vulnerability and COVID-19 in ahvaz, Iran |
title_full_unstemmed | A neighborhood-level analysis of association between social vulnerability and COVID-19 in ahvaz, Iran |
title_short | A neighborhood-level analysis of association between social vulnerability and COVID-19 in ahvaz, Iran |
title_sort | neighborhood-level analysis of association between social vulnerability and covid-19 in ahvaz, iran |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9788993/ https://www.ncbi.nlm.nih.gov/pubmed/36589205 http://dx.doi.org/10.1016/j.ijdrr.2022.103504 |
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