Statistical Study of Relationship and Comparison of Average Monthly Temperature and nCoV-SARS-2: A Case Study of India.

I. Sadiq, Shafiu Ibrahim Musa
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引用次数: 0

Abstract

In this study we employed statistical methods to relate and make comparison between monthly average temperature and number of confirmed cases for COVID-19 disease. R-studio were used to achieve the results. We extracted our data for the analysis from the Ministry of Health and Family Welfare Government of India for the cumulative confirmed cases of nCoV-SARS-2, the average monthly temperature from 1 March to 31 May 2020 were also extracted via internet from Current Results weather and science facts for Indian Weather. The descriptive analysis of the generated data was presented graphically. Our findings show that, the average temperature so far has no effect on the number of nCoV-SARS-2 in all the four regions of India, in fact number of cases are still in the rise with daily increase.
月平均气温与nCoV-SARS-2关系及比较的统计研究——以印度为例
本研究采用统计学方法将月平均气温与COVID-19疾病确诊病例数进行关联和比较。使用R-studio来获得结果。我们从印度卫生和家庭福利部提取了用于分析的nCoV-SARS-2累计确诊病例的数据,并通过互联网从印度天气的当前结果天气和科学事实中提取了2020年3月1日至5月31日的月平均气温。生成数据的描述性分析以图形形式呈现。我们的研究结果表明,到目前为止,平均气温对印度所有四个地区的nCoV-SARS-2的数量没有影响,实际上病例数仍在逐日增加。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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