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Association between climatic variables and COVID-19 pandemic in National Capital Territory of Delhi, India

机译:印度德里国家首都境内的气候变量与Covid-19大流行之间的关联

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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 (degrees 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.
机译:在全球范围内,自2019年12月底以来,冠状病毒病(Covid-19)被认为是严重的传染病。因此,已经试图检查气候变量和Covid-19之间的联系,特别是在印度德里国家资本境内,印度德里国家资本境内。为此,Covid-19的日常数据已被用于3月14日至6月11日,2020年6月11日(90天)。八个气候变量,如最大,最小和平均温度(℃),相对湿度(%),明亮的阳光小时,风速(KM / H),蒸发(MM)以及降雨(MM)都已分析新型冠状病毒肺炎(COVID-19):新冠肺炎(COVID-19):COVID-19。为研究不同气候变量和Covid-19传播之间的关系,已经进行了卡尔皮尔森的相关分析。 Mann-Kendall方法和SEN的斜率估计器已被用于检测Covid-19趋势的方向和幅度。结果表明,出于八个选定的气候变量,六个变量,viz。最高温度,最小温度,平均温度,相对湿度,蒸发和风速与冠状病毒病例正相关(在95和99%的置信水平上统计学意义)。明亮的阳光小时和降雨没有发现冠状病毒病的关联。此外,Covid-19案例和死亡表现出越来越大的趋势,置信水平幅度为99%。该研究的结果表明,德里NCT的气候条件有利于Covid-19,并且该疾病可能进一步扩散,较高的温度,相对湿度,蒸发和风速。这是唯一借鉴了Covid-19的分析的唯一研究,这些研究与最浓密的群体和快速增长的印度城市的几个气候变量相比。因此,考虑到所获得的结果,特别是必要的结果,尤其是鉴定在这种明显在巨大程度上迅速增加的区域。应采取预防和保护措施,旨在减少城市疾病的进一步传播。

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