Department of Biochemistry, School of Life Sciences, Central University of Rajasthan, Ajmer, Rajasthan, India.
Department of Statistics, University of Rajasthan, Jaipur, Rajasthan, India.
Public Health. 2022 Jul;208:105-110. doi: 10.1016/j.puhe.2022.04.011. Epub 2022 May 5.
The COVID-19 pandemic that emerged in December 2019 brought human life to a standstill. With over 2-year since the pandemic originated from Wuhan, SARS-CoV-2 has caused more than 6 million deaths worldwide. With the emergence of mutant strains and COVID-19 surge waves, it becomes critically important to conduct epidemiological studies that allow us to understand the role of various environmental factors on SARS-CoV-2 infectivity. Our earlier study reported a strong negative correlation between temperature and COVID-19 incidence. This research is an extension of our previous study with an attempt to understand the global analysis of COVID-19 in northern hemisphere countries.
This research aims at achieving a better understanding of the correlation of environmental factors such as temperature, sunlight, and humidity with new cases of COVID-19 in northern hemisphere from March 2020 to February 2022.
To understand the relationship between the different environmental variants and COVID-19, a statistical approach was employed using Pearson, Spearman and Kendall analysis.
Month-wise univariate analysis indicated a strong negative correlation of temperature and sunlight with SARS-CoV-2 infectivity, whereas inconsistencies were observed in correlation analysis in the case of humidity in winter months. Moreover, a strong negative correlation between average temperature of winter months and COVID-19 cases exists as evidenced by Pearson, Spearman, and Kendall analyses. In addition, correlation pattern between monthly temperature and COVID-19 cases of a country mimics to that of sunlight of a country.
This pilot study proposes that low temperatures and low sunlight might be additional risk factors for SARS-CoV-2 infectivity, mostly in northern hemisphere countries.
2019 年 12 月爆发的 COVID-19 疫情使人类生活陷入停顿。自疫情从武汉爆发以来已经过去了 2 年多,SARS-CoV-2 已在全球造成超过 600 万人死亡。随着变异株的出现和 COVID-19 浪潮的涌现,进行流行病学研究变得至关重要,这使我们能够了解各种环境因素对 SARS-CoV-2 传染性的作用。我们之前的研究报告了温度与 COVID-19 发病率之间的强烈负相关。这项研究是我们之前研究的延伸,旨在尝试了解北半球国家 COVID-19 的全球分析。
本研究旨在更好地了解温度、阳光和湿度等环境因素与 2020 年 3 月至 2022 年 2 月北半球新的 COVID-19 病例之间的相关性。
为了了解不同环境变量与 COVID-19 之间的关系,采用了 Pearson、Spearman 和 Kendall 分析等统计方法。
逐月的单变量分析表明,温度和阳光与 SARS-CoV-2 感染性呈强烈负相关,而在冬季湿度的相关性分析中则存在不一致的情况。此外,冬季平均温度与 COVID-19 病例之间存在强烈的负相关关系,这一点在 Pearson、Spearman 和 Kendall 分析中都得到了证明。此外,一个国家的月度温度与 COVID-19 病例之间的相关模式与该国的阳光相关模式相似。
这项初步研究表明,低温和低光照可能是 SARS-CoV-2 感染性的额外危险因素,主要在北半球国家。