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Investigating the Significance of Aerosols in Determining the Coronavirus Fatality Rate Among Three European Countries

The coronavirus pandemic has not only gripped the scientific community in the search for a vaccine or a cure but also in attempts using statistics and association analysis—to identify environmental factors that increase its potency. A study by Ogen (Sci Total Environ 726:138605, 2020a) explored the...

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Autores principales: Li, Wenzhao, Thomas, Rejoice, El-Askary, Hesham, Piechota, Thomas, Struppa, Daniele, Abdel Ghaffar, Khaled A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7502156/
https://www.ncbi.nlm.nih.gov/pubmed/34723073
http://dx.doi.org/10.1007/s41748-020-00176-4
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author Li, Wenzhao
Thomas, Rejoice
El-Askary, Hesham
Piechota, Thomas
Struppa, Daniele
Abdel Ghaffar, Khaled A.
author_facet Li, Wenzhao
Thomas, Rejoice
El-Askary, Hesham
Piechota, Thomas
Struppa, Daniele
Abdel Ghaffar, Khaled A.
author_sort Li, Wenzhao
collection PubMed
description The coronavirus pandemic has not only gripped the scientific community in the search for a vaccine or a cure but also in attempts using statistics and association analysis—to identify environmental factors that increase its potency. A study by Ogen (Sci Total Environ 726:138605, 2020a) explored the possible correlation between coronavirus fatality and high nitrogen dioxide exposure in four European countries—France, Germany, Italy and Spain. Meanwhile, another study showed the importance of nitrogen dioxide along with population density in determining the coronavirus pandemic rate in England. In this follow-up study, Aerosol Optical Depth (AOD) was introduced in conjunction with other variables like nitrogen dioxide and population density for further analysis in fifty-four administrative regions of Germany, Italy and Spain. The AOD values were extracted from the Moderate Resolution Imaging Spectroradiometer (MODIS) onboard the Terra and Aqua satellites while the nitrogen dioxide data were extracted from TROPOMI (TROPOspheric Monitoring Instrument) sensor onboard the Sentinel-5 Precursor satellite. Regression models, as well as multiple statistical tests were used to evaluate the predictive skill and significance of each variable to the fatality rate. The study was conducted for two periods: (1) pre-exposure period (Dec 1, 2019–Feb 29, 2020); (2) complete exposure period (Dec 1, 2019–Jul 1, 2020). Some of the results pointed towards AOD potentially being a factor in estimating the coronavirus fatality rate. The models performed better using the data collected during the complete exposure period, which showed higher AOD values contributed to an increased significance of AOD in the models. Meanwhile, some uncertainties of the analytical results could be attributed to data quality and the absence of other important factors that determine the coronavirus fatality rate. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s41748-020-00176-4) contains supplementary material, which is available to authorized users.
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spelling pubmed-75021562020-09-21 Investigating the Significance of Aerosols in Determining the Coronavirus Fatality Rate Among Three European Countries Li, Wenzhao Thomas, Rejoice El-Askary, Hesham Piechota, Thomas Struppa, Daniele Abdel Ghaffar, Khaled A. Earth Syst Environ Original Article The coronavirus pandemic has not only gripped the scientific community in the search for a vaccine or a cure but also in attempts using statistics and association analysis—to identify environmental factors that increase its potency. A study by Ogen (Sci Total Environ 726:138605, 2020a) explored the possible correlation between coronavirus fatality and high nitrogen dioxide exposure in four European countries—France, Germany, Italy and Spain. Meanwhile, another study showed the importance of nitrogen dioxide along with population density in determining the coronavirus pandemic rate in England. In this follow-up study, Aerosol Optical Depth (AOD) was introduced in conjunction with other variables like nitrogen dioxide and population density for further analysis in fifty-four administrative regions of Germany, Italy and Spain. The AOD values were extracted from the Moderate Resolution Imaging Spectroradiometer (MODIS) onboard the Terra and Aqua satellites while the nitrogen dioxide data were extracted from TROPOMI (TROPOspheric Monitoring Instrument) sensor onboard the Sentinel-5 Precursor satellite. Regression models, as well as multiple statistical tests were used to evaluate the predictive skill and significance of each variable to the fatality rate. The study was conducted for two periods: (1) pre-exposure period (Dec 1, 2019–Feb 29, 2020); (2) complete exposure period (Dec 1, 2019–Jul 1, 2020). Some of the results pointed towards AOD potentially being a factor in estimating the coronavirus fatality rate. The models performed better using the data collected during the complete exposure period, which showed higher AOD values contributed to an increased significance of AOD in the models. Meanwhile, some uncertainties of the analytical results could be attributed to data quality and the absence of other important factors that determine the coronavirus fatality rate. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s41748-020-00176-4) contains supplementary material, which is available to authorized users. Springer International Publishing 2020-09-20 2020 /pmc/articles/PMC7502156/ /pubmed/34723073 http://dx.doi.org/10.1007/s41748-020-00176-4 Text en © The Author(s) 2020 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Article
Li, Wenzhao
Thomas, Rejoice
El-Askary, Hesham
Piechota, Thomas
Struppa, Daniele
Abdel Ghaffar, Khaled A.
Investigating the Significance of Aerosols in Determining the Coronavirus Fatality Rate Among Three European Countries
title Investigating the Significance of Aerosols in Determining the Coronavirus Fatality Rate Among Three European Countries
title_full Investigating the Significance of Aerosols in Determining the Coronavirus Fatality Rate Among Three European Countries
title_fullStr Investigating the Significance of Aerosols in Determining the Coronavirus Fatality Rate Among Three European Countries
title_full_unstemmed Investigating the Significance of Aerosols in Determining the Coronavirus Fatality Rate Among Three European Countries
title_short Investigating the Significance of Aerosols in Determining the Coronavirus Fatality Rate Among Three European Countries
title_sort investigating the significance of aerosols in determining the coronavirus fatality rate among three european countries
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7502156/
https://www.ncbi.nlm.nih.gov/pubmed/34723073
http://dx.doi.org/10.1007/s41748-020-00176-4
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