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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Springer International Publishing
2020
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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. |
format | Online Article Text |
id | pubmed-7502156 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
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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