Suppr超能文献

调查气溶胶在确定三个欧洲国家新冠病毒死亡率方面的重要性。

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

作者信息

Li Wenzhao, Thomas Rejoice, El-Askary Hesham, Piechota Thomas, Struppa Daniele, Abdel Ghaffar Khaled A

机构信息

Schmid College of Science and Technology, Chapman University, 1 University Drive, Orange, CA 92866 USA.

Computational and Data Sciences Graduate Program, Schmid College of Science and Technology, Chapman University, Orange, CA 92866 USA.

出版信息

Earth Syst Environ. 2020;4(3):513-522. doi: 10.1007/s41748-020-00176-4. Epub 2020 Sep 20.

Abstract

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.

摘要

新冠疫情不仅让科学界忙于寻找疫苗或治疗方法,还促使人们尝试通过统计和关联分析来确定会增强病毒传播力的环境因素。奥根的一项研究(《科学·总环境》,2020年a卷,第726期:138605)探讨了法国、德国、意大利和西班牙这四个欧洲国家新冠死亡率与高二氧化氮暴露之间的可能关联。与此同时,另一项研究表明,在决定英国新冠疫情传播率方面,二氧化氮和人口密度都很重要。在这项后续研究中,将气溶胶光学厚度(AOD)与二氧化氮和人口密度等其他变量结合起来,在德国、意大利和西班牙的54个行政区进行进一步分析。AOD值是从搭载在Terra和Aqua卫星上的中分辨率成像光谱仪(MODIS)中提取的,而二氧化氮数据则是从哨兵5号前体卫星上的对流层监测仪器(TROPOMI)传感器中提取的。使用回归模型以及多项统计测试来评估每个变量对死亡率的预测能力和显著性。该研究分两个阶段进行:(1)暴露前期(2019年12月1日至2020年2月29日);(2)完全暴露期(2019年12月1日至2020年7月1日)。部分结果表明,AOD可能是估计新冠死亡率的一个因素。使用在完全暴露期收集的数据时,模型表现更好,这表明较高的AOD值使得AOD在模型中的显著性增加。与此同时,分析结果的一些不确定性可能归因于数据质量以及缺乏其他决定新冠死亡率的重要因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/592d/7502156/2dbcdf2008f0/41748_2020_176_Fig1_HTML.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验