The impact of environmental pollutants and climate indicators on the outbreak of COVID-19 has gained considerable attention in the recent literature. However, specific investigation of industrial economies like Germany is not available. This provides us motivation to examine the association between environmental pollutants, climate indicators and the COVID-19 cases, recoveries, and deaths in Germany using daily data from February 24, 2020, to July 02, 2020. The correlation analysis and wavelet transform coherence (WTC) approach are the analytical tools, which are used to explore the association between variables included in the study. Our findings indicate that PM2.5, O3, and NO2 have a significant relationship with the outbreak of COVID-19. In addition, temperature is the only significant climate indicator which has significant correlation with the spread of COVID-19. Finally, PM10, humidity, and environmental quality index have a significant relationship only with the active cases from COVID-19 pandemic. Our findings conclude that Germany’s successful response to COVID-19 is attributed to environmental legislation and the medical care system, which oversaw significant overhaul after the SARS and MERS outbreaks. The current study implicates that other industrial economies, especially European economies, that are still facing COVID-19 outbreak can follow the German model for pandemic response.

中文翻译：

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环境污染和 COVID-19 爆发：来自德国的见解


环境污染物和气候指标对 COVID-19 爆发的影响在最近的文献中引起了相当大的关注。然而，没有针对德国等工业经济体的具体调查。这为我们提供了动力，利用 2020 年 2 月 24 日至 2020 年 7 月 2 日的每日数据来研究德国的环境污染物、气候指标与 COVID-19 病例、康复和死亡之间的关联。相关性分析和小波变换相干性（ WTC）方法是分析工具，用于探索研究中变量之间的关联。我们的研究结果表明，PM2.5、O3 和 NO2 与 COVID-19 的爆发有显着关系。此外，温度是唯一与COVID-19的传播具有显着相关性的重要气候指标。最后，PM10、湿度和环境质量指数仅与 COVID-19 大流行的活跃病例有显着关系。我们的研究结果得出的结论是，德国对 COVID-19 的成功应对归功于环境立法和医疗保健系统，这些系统在 SARS 和 MERS 爆发后进行了重大改革。目前的研究表明，仍面临 COVID-19 疫情的其他工业经济体，尤其是欧洲经济体可以效仿德国的大流行应对模式。