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Study of climatology parameters on COVID-19 outbreak in Jordan
To control the spread of COVID-19 disease and reduce its mortality, an early and precise diagnose of this disease is of significant importance. Emerging research data show that the current COVID-19 pandemic may be affected by environmental conditions. Therefore, the impact of weather parameters on C...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8978761/ https://www.ncbi.nlm.nih.gov/pubmed/35401846 http://dx.doi.org/10.1007/s12665-022-10348-2 |
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author | Hamdan, Mohammad Dabbour, Loai Abdelhafez, Eman |
author_facet | Hamdan, Mohammad Dabbour, Loai Abdelhafez, Eman |
author_sort | Hamdan, Mohammad |
collection | PubMed |
description | To control the spread of COVID-19 disease and reduce its mortality, an early and precise diagnose of this disease is of significant importance. Emerging research data show that the current COVID-19 pandemic may be affected by environmental conditions. Therefore, the impact of weather parameters on COVID-19 distribution should be explored to predict its development in the next few months. This research aims to study the association between the daily confirmed COVID-19 cases in the three major cities of Jordan; Amman, Zarqa, and Irbid and climate indicators to include the average daily temperature (°C), wind speed (m/s), relative humidity (%), pressure (kPa), and the concentration of four pollutants (CO, NO(2), PM(10,) and SO(2)). The data were obtained from the World Air Quality Project website and the Jordanian Ministry of Environment. A total of 305 samples for each city was used to conduct the data analysis using multiple linear regression and a feedforward artificial neural network. It was concluded that the multiple linear regression and feedforward artificial neural network could forecast the COVID-19 confirmed cases in the case studies; Amman, Irbid, and Zarqa. Finally, global sensitivity analysis using Sobol analysis indicated that pressure in Amman and Zarqa and the concentration of NO(2) in Irbid has a high rate of positive cases that supports the virus's spread. |
format | Online Article Text |
id | pubmed-8978761 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-89787612022-04-05 Study of climatology parameters on COVID-19 outbreak in Jordan Hamdan, Mohammad Dabbour, Loai Abdelhafez, Eman Environ Earth Sci Original Article To control the spread of COVID-19 disease and reduce its mortality, an early and precise diagnose of this disease is of significant importance. Emerging research data show that the current COVID-19 pandemic may be affected by environmental conditions. Therefore, the impact of weather parameters on COVID-19 distribution should be explored to predict its development in the next few months. This research aims to study the association between the daily confirmed COVID-19 cases in the three major cities of Jordan; Amman, Zarqa, and Irbid and climate indicators to include the average daily temperature (°C), wind speed (m/s), relative humidity (%), pressure (kPa), and the concentration of four pollutants (CO, NO(2), PM(10,) and SO(2)). The data were obtained from the World Air Quality Project website and the Jordanian Ministry of Environment. A total of 305 samples for each city was used to conduct the data analysis using multiple linear regression and a feedforward artificial neural network. It was concluded that the multiple linear regression and feedforward artificial neural network could forecast the COVID-19 confirmed cases in the case studies; Amman, Irbid, and Zarqa. Finally, global sensitivity analysis using Sobol analysis indicated that pressure in Amman and Zarqa and the concentration of NO(2) in Irbid has a high rate of positive cases that supports the virus's spread. Springer Berlin Heidelberg 2022-04-04 2022 /pmc/articles/PMC8978761/ /pubmed/35401846 http://dx.doi.org/10.1007/s12665-022-10348-2 Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022 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 | Original Article Hamdan, Mohammad Dabbour, Loai Abdelhafez, Eman Study of climatology parameters on COVID-19 outbreak in Jordan |
title | Study of climatology parameters on COVID-19 outbreak in Jordan |
title_full | Study of climatology parameters on COVID-19 outbreak in Jordan |
title_fullStr | Study of climatology parameters on COVID-19 outbreak in Jordan |
title_full_unstemmed | Study of climatology parameters on COVID-19 outbreak in Jordan |
title_short | Study of climatology parameters on COVID-19 outbreak in Jordan |
title_sort | study of climatology parameters on covid-19 outbreak in jordan |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8978761/ https://www.ncbi.nlm.nih.gov/pubmed/35401846 http://dx.doi.org/10.1007/s12665-022-10348-2 |
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