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Investigation of the urbanization contribution to the COVID-19 outbreak in Iran and the MECA countries
The main objective of this research was to disclose the correlative contribution of urban-associated factors affecting the COVID-19 outbreak in the macro-scale of MECA countries and the downscaled micro-scale of the provincial divisions in Iran. For this purpose, the correlation coefficients between...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8049836/ https://www.ncbi.nlm.nih.gov/pubmed/33880075 http://dx.doi.org/10.1007/s10668-021-01423-y |
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author | Bijari, Nikta Bahman Mahdinia, Mohammad Hadi Mansouri Daneshvar, Mohammad Reza |
author_facet | Bijari, Nikta Bahman Mahdinia, Mohammad Hadi Mansouri Daneshvar, Mohammad Reza |
author_sort | Bijari, Nikta Bahman |
collection | PubMed |
description | The main objective of this research was to disclose the correlative contribution of urban-associated factors affecting the COVID-19 outbreak in the macro-scale of MECA countries and the downscaled micro-scale of the provincial divisions in Iran. For this purpose, the correlation coefficients between the variables and clustering analysis were used to expose the possible effects. Results revealed the comparatively strong relationships between some independent variables (e.g., total greenhouse gas emissions, CO(2) emissions, nitrous oxide emissions, and urban population) and confirmed cases (R from 0.619 to 0.695), demonstrating the possible effective role of urbanization and its induced GHG emissions on the COVID-19 outbreak in the country level of the MECA region. Therefore, the results significantly confirmed the strong relationships between some independent variables (e.g., total population, urban population, fuel consumption, NO(2)–CO(2) emissions, energy use, and total intra-changed travels) and confirmed cases (R from 0.724 to 0.945), explaining an explicit relationship between urbanization processes and the COVID-19 outbreak in Iran. Besides, the HCA results revealed the substantial role of the urban population and urban-induced energy use and gas emission in clustering locations regarding the COVID-19 outbreak in both the MECA region and Iran. The main implication of this research is to give a practical correlation between Coronavirus infection and urban constitution, aiming to increase the health of urban societies by creating effective planning in the future. |
format | Online Article Text |
id | pubmed-8049836 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-80498362021-04-16 Investigation of the urbanization contribution to the COVID-19 outbreak in Iran and the MECA countries Bijari, Nikta Bahman Mahdinia, Mohammad Hadi Mansouri Daneshvar, Mohammad Reza Environ Dev Sustain Article The main objective of this research was to disclose the correlative contribution of urban-associated factors affecting the COVID-19 outbreak in the macro-scale of MECA countries and the downscaled micro-scale of the provincial divisions in Iran. For this purpose, the correlation coefficients between the variables and clustering analysis were used to expose the possible effects. Results revealed the comparatively strong relationships between some independent variables (e.g., total greenhouse gas emissions, CO(2) emissions, nitrous oxide emissions, and urban population) and confirmed cases (R from 0.619 to 0.695), demonstrating the possible effective role of urbanization and its induced GHG emissions on the COVID-19 outbreak in the country level of the MECA region. Therefore, the results significantly confirmed the strong relationships between some independent variables (e.g., total population, urban population, fuel consumption, NO(2)–CO(2) emissions, energy use, and total intra-changed travels) and confirmed cases (R from 0.724 to 0.945), explaining an explicit relationship between urbanization processes and the COVID-19 outbreak in Iran. Besides, the HCA results revealed the substantial role of the urban population and urban-induced energy use and gas emission in clustering locations regarding the COVID-19 outbreak in both the MECA region and Iran. The main implication of this research is to give a practical correlation between Coronavirus infection and urban constitution, aiming to increase the health of urban societies by creating effective planning in the future. Springer Netherlands 2021-04-16 2021 /pmc/articles/PMC8049836/ /pubmed/33880075 http://dx.doi.org/10.1007/s10668-021-01423-y Text en © The Author(s), under exclusive licence to Springer Nature B.V. 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Bijari, Nikta Bahman Mahdinia, Mohammad Hadi Mansouri Daneshvar, Mohammad Reza Investigation of the urbanization contribution to the COVID-19 outbreak in Iran and the MECA countries |
title | Investigation of the urbanization contribution to the COVID-19 outbreak in Iran and the MECA countries |
title_full | Investigation of the urbanization contribution to the COVID-19 outbreak in Iran and the MECA countries |
title_fullStr | Investigation of the urbanization contribution to the COVID-19 outbreak in Iran and the MECA countries |
title_full_unstemmed | Investigation of the urbanization contribution to the COVID-19 outbreak in Iran and the MECA countries |
title_short | Investigation of the urbanization contribution to the COVID-19 outbreak in Iran and the MECA countries |
title_sort | investigation of the urbanization contribution to the covid-19 outbreak in iran and the meca countries |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8049836/ https://www.ncbi.nlm.nih.gov/pubmed/33880075 http://dx.doi.org/10.1007/s10668-021-01423-y |
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