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Investigation of effective climatology parameters on COVID-19 outbreak in Iran

SARS CoV-2 (COVID-19) Coronavirus cases are confirmed throughout the world and millions of people are being put into quarantine. A better understanding of the effective parameters in infection spreading can bring about a logical measurement toward COVID-19. The effect of climatic factors on spreadin...

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Autores principales: Ahmadi, Mohsen, Sharifi, Abbas, Dorosti, Shadi, Jafarzadeh Ghoushchi, Saeid, Ghanbari, Negar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Published by Elsevier B.V. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7162759/
https://www.ncbi.nlm.nih.gov/pubmed/32361432
http://dx.doi.org/10.1016/j.scitotenv.2020.138705
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author Ahmadi, Mohsen
Sharifi, Abbas
Dorosti, Shadi
Jafarzadeh Ghoushchi, Saeid
Ghanbari, Negar
author_facet Ahmadi, Mohsen
Sharifi, Abbas
Dorosti, Shadi
Jafarzadeh Ghoushchi, Saeid
Ghanbari, Negar
author_sort Ahmadi, Mohsen
collection PubMed
description SARS CoV-2 (COVID-19) Coronavirus cases are confirmed throughout the world and millions of people are being put into quarantine. A better understanding of the effective parameters in infection spreading can bring about a logical measurement toward COVID-19. The effect of climatic factors on spreading of COVID-19 can play an important role in the new Coronavirus outbreak. In this study, the main parameters, including the number of infected people with COVID-19, population density, intra-provincial movement, and infection days to end of the study period, average temperature, average precipitation, humidity, wind speed, and average solar radiation investigated to understand how can these parameters effects on COVID-19 spreading in Iran? The Partial correlation coefficient (PCC) and Sobol’-Jansen methods are used for analyzing the effect and correlation of variables with the COVID-19 spreading rate. The result of sensitivity analysis shows that the population density, intra-provincial movement have a direct relationship with the infection outbreak. Conversely, areas with low values of wind speed, humidity, and solar radiation exposure to a high rate of infection that support the virus's survival. The provinces such as Tehran, Mazandaran, Alborz, Gilan, and Qom are more susceptible to infection because of high population density, intra-provincial movements and high humidity rate in comparison with Southern provinces.
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spelling pubmed-71627592020-04-17 Investigation of effective climatology parameters on COVID-19 outbreak in Iran Ahmadi, Mohsen Sharifi, Abbas Dorosti, Shadi Jafarzadeh Ghoushchi, Saeid Ghanbari, Negar Sci Total Environ Article SARS CoV-2 (COVID-19) Coronavirus cases are confirmed throughout the world and millions of people are being put into quarantine. A better understanding of the effective parameters in infection spreading can bring about a logical measurement toward COVID-19. The effect of climatic factors on spreading of COVID-19 can play an important role in the new Coronavirus outbreak. In this study, the main parameters, including the number of infected people with COVID-19, population density, intra-provincial movement, and infection days to end of the study period, average temperature, average precipitation, humidity, wind speed, and average solar radiation investigated to understand how can these parameters effects on COVID-19 spreading in Iran? The Partial correlation coefficient (PCC) and Sobol’-Jansen methods are used for analyzing the effect and correlation of variables with the COVID-19 spreading rate. The result of sensitivity analysis shows that the population density, intra-provincial movement have a direct relationship with the infection outbreak. Conversely, areas with low values of wind speed, humidity, and solar radiation exposure to a high rate of infection that support the virus's survival. The provinces such as Tehran, Mazandaran, Alborz, Gilan, and Qom are more susceptible to infection because of high population density, intra-provincial movements and high humidity rate in comparison with Southern provinces. Published by Elsevier B.V. 2020-08-10 2020-04-17 /pmc/articles/PMC7162759/ /pubmed/32361432 http://dx.doi.org/10.1016/j.scitotenv.2020.138705 Text en © 2020 Published by Elsevier B.V. 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
Ahmadi, Mohsen
Sharifi, Abbas
Dorosti, Shadi
Jafarzadeh Ghoushchi, Saeid
Ghanbari, Negar
Investigation of effective climatology parameters on COVID-19 outbreak in Iran
title Investigation of effective climatology parameters on COVID-19 outbreak in Iran
title_full Investigation of effective climatology parameters on COVID-19 outbreak in Iran
title_fullStr Investigation of effective climatology parameters on COVID-19 outbreak in Iran
title_full_unstemmed Investigation of effective climatology parameters on COVID-19 outbreak in Iran
title_short Investigation of effective climatology parameters on COVID-19 outbreak in Iran
title_sort investigation of effective climatology parameters on covid-19 outbreak in iran
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7162759/
https://www.ncbi.nlm.nih.gov/pubmed/32361432
http://dx.doi.org/10.1016/j.scitotenv.2020.138705
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