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Effect of environmental factors on SARS-CoV-2 infectivity in northern hemisphere countries: a 2-year data analysis.
Tripathi, Vaishnavi; Bundel, Rashmi; Mandal, Chandi C.
  • Tripathi V; Department of Biochemistry, School of Life Sciences, Central University of Rajasthan, Ajmer, Rajasthan, India.
  • Bundel R; Department of Statistics, University of Rajasthan, Jaipur, Rajasthan, India.
  • Mandal CC; Department of Biochemistry, School of Life Sciences, Central University of Rajasthan, Ajmer, Rajasthan, India. Electronic address: chandicmandal@gmail.com.
Public Health ; 208: 105-110, 2022 Jul.
Article in English | MEDLINE | ID: covidwho-1907695
ABSTRACT

OBJECTIVE:

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. STUDY

DESIGN:

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.

METHODS:

To understand the relationship between the different environmental variants and COVID-19, a statistical approach was employed using Pearson, Spearman and Kendall analysis.

RESULTS:

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.

CONCLUSION:

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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study Topics: Variants Limits: Humans Language: English Journal: Public Health Year: 2022 Document Type: Article Affiliation country: J.puhe.2022.04.011

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study Topics: Variants Limits: Humans Language: English Journal: Public Health Year: 2022 Document Type: Article Affiliation country: J.puhe.2022.04.011