• ISSN: 2010-3646 (Online)
    • Abbreviated Title: Int. J. Social. Scienc. Humanit.
    • Frequency: Bimonthly
    • DOI: 10.18178/IJSSH
    • Editor-in-Chief: Prof. Paul Sudnik
    • Executive Editor: Ms. Yoyo Y. Zhou
    • Abstracting/ Indexing: Google Scholar, Index Copernicus, Crossref, Electronic Journals Library
    • E-mail: ijssh@ejournal.net
Home> Archive> 2023> Volume 13 Number 2 ( April. 2023)
IJSSH 2023 Vol.13(2): 92-99
doi: 10.18178/ijssh.2023.V13.1125

Environmental and Economic Factors Affecting COVID-19 Infection in 175 Countries

Boontarika Paphawasit*, Chayanut Phantharot, and Teewara Suwan

Abstract—This study explores a potential correlation between environmental and economic factors and the confirmed COVID-19 cases. This article uses official infection rate data and environmental and economic factors that may help accelerate transmissions, such as temperature, humidity, and GDP. Using statistical methods, i.e., ordinary least squares and quantile regression, our findings indicate that temperature, moisture, and island condition were the most influential explanatory variables. Nevertheless, the other factors, which are population density of a country, GDP, and country’s regime, are not statistically significant, indicating that those factors do not significantly explain changes in the confirmed COVID-19 cases.

Index Terms—Temperature, Covid-19, economic factor, pandemic, environmental factor

Boontarika Paphawasit and Chayanut Phantharot are with the College of Arts, Media and Technology, Chiang Mai University, Thailand.
Teewara Suwan is with Civil Engineering Department, Faculty of Engineering, Chiang Mai University, Thailand.
*Correspondence: boontarika.p@cmu.ac.th (B.P.)

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Cite: Boontarika Paphawasit, Chayanut Phantharot, and Teewara Suwan , "Environmental and Economic Factors Affecting COVID-19 Infection in 175 Countries ," International Journal of Social Science and Humanity vol. 13, no. 2, pp. 92-99, 2023.

Copyright © 2023 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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