Gaussian approach for probability and correlation between the number of COVID-19 cases and the air pollution in Lima
Gaussian approach for probability and correlation between the number of COVID-19 cases and the air pollution in Lima
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DOI：
10.1016/j.uclim.2020.100664
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发表时间：
2020-09-01
期刊：
影响因子：
6.4
通讯作者：
Mejia Lara, Jennifer Vanessa
中科院分区：
文献类型：
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作者：
Arias Velasquez, Ricardo Manuel;Mejia Lara, Jennifer Vanessa
2020年2月底，秘鲁出现了第一例与冠状病毒（COVID-19）相关的肺炎病例，这些病例是在秘鲁利马报告的（Rodriguez-Morales等人，2020年）。因此，在3月的第一周，有72人被感染，政府发布了应对COVID-19大流行国家危机的新法律（Vizcarra等人，2020年），在秘鲁的每个城市进行隔离。我们的分析考虑了2020年3月和4月利马的空气质量测量和感染情况，收集了6个气象站的数据，包括CO（一氧化碳）、NO2（氮氧化物）、O-3（臭氧）、SO2（二氧化硫）、PM10和PM2.5（空气动力学直径分别小于2.5和10米的颗粒物）。因此，这些浓度的平均值和医院信息每小时被收集。这项分析是在隔离期间进行的，尽管利马的空气污染有所减少，但在COVID-19感染率最高的地区，二氧化氮和PM10发现了重要的相关性。本文提出了一种基于约空间高斯过程回归的空气污染与感染分类模型；技术和环境动态以及与COVID-19相关的全球变化。对利马市各地区进行了评估，结果显示，自秘鲁出现首例感染以来的最后28天内，工业对空气污染和COVID-19感染的影响；通过成功的分类和聚类分析，验证了数据管理中存在的问题，为未来受环境条件影响的COVID-19工作提供了依据。
At the end of February 2020, Peru started the first cases of pneumonia associated with coronavirus (COVID-19), they were reported in Lima, Peru (Rodriguez-Morales et al., 2020). Therefore, the first week on March started with 72 infected people, the government published new law for a national crisis by COVID-19 pandemic (Vizcarra et al., 2020), with a quarantine in each city of Peru. Our analysis has considered March and April 2020, for air quality measurement and infections in Lima, the data collected on 6 meteorological stations with CO (carbon monoxide), NO2 (nitrogen oxide), O-3 (ozone), SO2 (sulfur dioxide), PM10, and PM2.5 (particle matter with diameter aerodynamic less than 2.5 and 10 m respectively). As a result, the average of these concentrations and the hospital information is recollected per hour. This analysis is executed during the quarantine an important correlation is discovered in the zone with highest infection by COVID-19, NO2 and PM10, even though in a reduction of air pollution in Lima. In this paper, we proposed a classification model by Reduced-Space Gaussian Process Regression for air pollution and infections; with technological and environmental dynamics and global change associated COVID-19. An evaluation of zones in Lima city, results have demonstrated influence of industrial influence in air pollution and infections by COVID-19 before and after quarantine during the last 28 days since the first infection in Peru; the problems relating to data management were validated with a successful classification and cluster analysis for future works in COVID-19 influence by environmental conditions.