Coronavirus Disease 19 (COVID-19) is a highly infectious viral disease affecting millions of people worldwide in 2020. Several studies have shown that COVID-19 results in a severe acute respiratory syndrome and may lead to death. In past research, a greater number of respiratory diseases has been caused by exposure to air pollution for long periods of time. This article investigates the spread of COVID-19 as a result of air pollution by applying linear regression in machine learning method based edge computing. The analysis in this investigation have been based on the death rates caused by COVID-19 as well as the region of death rates based on hazardous air pollution using data retrieved from the Copernicus Sentinel-5P satellite. The results obtained in the investigation prove that the mortality rate due to the spread of COVID-19 is 77% higher in areas with polluted air. This investigation also proves that COVID-19 severely affected 68% of the individuals who had been exposed to polluted air.

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通过 Edge-AI 和空气污染相关性调查冠状病毒疾病的传播

冠状病毒病 19 (COVID-19) 是一种高度传染性的病毒性疾病，2020 年将影响全球数百万人。多项研究表明，COVID-19 会导致严重的急性呼吸综合征，并可能导致死亡。在过去的研究中，更多的呼吸系统疾病是由长时间暴露于空气污染引起的。本文通过在基于机器学习方法的边缘计算中应用线性回归，调查了空气污染导致 COVID-19 的传播。本次调查的分析基于 COVID-19 造成的死亡率以及使用从哥白尼 Sentinel-5P 卫星检索到的数据基于危险空气污染的死亡率区域。调查中获得的结果证明，在空气污染的地区，因 COVID-19 传播而导致的死亡率高出 77%。这项调查还证明，COVID-19 严重影响了 68% 的暴露于污染空气的人。