Affiliations 

  • 1 Water Research Centre, Kuwait Institute for Scientific Research, Safat, P.O. Box 24885, 13109, Kuwait City, Kuwait
  • 2 Department of Applied Geology, Faculty of Engineering and Science, Curtin University, Malaysia, CDT 250, 98009, Miri, Sarawak, Malaysia
  • 3 Department of Disaster Management, Alagappa University, Karikudi, 630003, Tamil Nadu, India. venkatrananansenapathi@gmail.com
  • 4 Department of Applied Geology, School of Applied Natural Science, Adama Science and Technology University, Adama, Ethiopia
  • 5 School of Geography and Planning, Sun Yat -Sen University, Guangzhou, 510275, People's Republic of China
  • 6 School of Environmental Sciences, Jawaharlal Nehru University, New Delhi, India
  • 7 Department of Sustainable Development, Environmental Science and Engineering, KTH Royal Institute of Technology, Stockholm, Sweden
PMID: 35028838 DOI: 10.1007/s11356-021-17481-8

Abstract

The study aims to determine the impact of global meteorological parameters on SARS-COV-2, including population density and initiation of lockdown in twelve different countries. The daily trend of these parameters and COVID-19 variables from February 15th to April 25th, 2020, were considered. Asian countries show an increasing trend between infection rate and population density. A direct relationship between the time-lapse of the first infected case and the period of suspension of movement controls the transmissivity of COVID-19 in Asian countries. The increase in temperature has led to an increase in COVID-19 spread, while the decrease in humidity is consistent with the trend in daily deaths during the peak of the pandemic in European countries. Countries with 65°F temperature and 5 mm rainfall have a negative impact on COVID-19 spread. Lower oxygen availability in the atmosphere, fine droplets of submicron size together with infectious aerosols, and low wind speed have contributed to the increase in total cases and mortality in Germany and France. The onset of the D614G mutation and subsequent changes to D614 before March, later G614 in mid-March, and S943P, A831V, D839/Y/N/E in April were observed in Asian and European countries. The results of the correlation and factor analysis show that the COVID-19 cases and the climatic factors are significantly correlated with each other. The optimum meteorological conditions for the prevalence of G614 were identified. It was observed that the complex interaction of global meteorological factors and changes in the mutational form of CoV-2 phase I influenced the daily mortality rate along with other comorbid factors. The results of this study could help the public and policymakers to create awareness of the COVID-19 pandemic.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.