Globally, since the end of December 2019, coronavirus disease (COVID-19) has been recognized as a severe infectious disease. Therefore, this study has been attempted to examine the linkage between climatic variables and COVID-19 particularly in National Capital Territory of Delhi (NCT of Delhi), India. For this, daily data of COVID-19 has been used for the period March 14 to June 11, 2020, (90 days). Eight climatic variables such as maximum, minimum and mean temperature (°C), relative humidity (%), bright sunshine hours, wind speed (km/h), evaporation (mm), and rainfall (mm) have been analyzed in relation to COVID-19. To study the relationship among different climatic variables and COVID-19 spread, Karl Pearson’s correlation analysis has been performed. The Mann–Kendall method and Sen’s slope estimator have been used to detect the direction and magnitude of COVID-19 trends, respectively. The results have shown that out of eight selected climatic variables, six variables, viz. maximum temperature, minimum temperature, mean temperature, relative humidity, evaporation, and wind speed are positively associated with coronavirus disease cases (statistically significant at 95 and 99% confidence levels). No association of coronavirus disease has been found with bright sunshine hours and rainfall. Besides, COVID-19 cases and deaths have shown increasing trends, significant at 99% confidence level. The results of this study suggest that climatic conditions in NCT of Delhi are favorable for COVID-19 and the disease may spread further with the increasing temperature, relative humidity, evaporation and wind speed. This is the only study which has presented the analysis of COVID-19 spread in relation to several climatic variables for the most densely populated and rapidly growing city of India. Thus, considering the results obtained, effective policies and actions are necessary especially by identifying the areas where the spread rate is increasing rapidly in this megacity. The prevention and protection measures should be adopted aiming at to reduce the further transmission of disease in the city.

中文翻译：

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印度首都德里的气候变量与 COVID-19 大流行之间的关联

在全球范围内，自2019年12月底以来，冠状病毒病（COVID-19）已被认定为严重传染病。因此，本研究试图探讨气候变量与 COVID-19 之间的联系，特别是在印度德里国家首都辖区（NCT of Delhi）。为此，使用了 2020 年 3 月 14 日至 6 月 11 日（90 天）期间的 COVID-19 每日数据。分析了最高、最低和平均温度 (°C)、相对湿度 (%)、日照时数、风速 (km/h)、蒸发量 (mm) 和降雨量 (mm) 等 8 个气候变量的关系2019冠状病毒病。为了研究不同气候变量与 COVID-19 传播之间的关系，进行了 Karl Pearson 的相关分析。Mann-Kendall 方法和 Sen 斜率估计器已分别用于检测 COVID-19 趋势的方向和幅度。结果表明，在八个选定的气候变量中，有六个变量，即。最高温度、最低温度、平均温度、相对湿度、蒸发量和风速与冠状病毒病例呈正相关（在 95% 和 99% 置信度下具有统计显着性）。尚未发现冠状病毒疾病与明亮的日照时间和降雨量有关。此外，COVID-19 病例和死亡人数呈上升趋势，在 99% 的置信水平下显着。这项研究的结果表明，德里 NCT 的气候条件有利于 COVID-19，并且随着温度、相对湿度、蒸发和风速的升高，该疾病可能会进一步传播。这是唯一一项对印度人口最稠密、发展最快的城市的 COVID-19 传播与几个气候变量之间的关系进行分析的研究。因此，考虑到所获得的结果，有效的政策和行动是必要的，特别是通过确定这个特大城市中传播率迅速增加的区域。采取旨在减少疾病在城市进一步传播的预防和保护措施。