Assessing Environmental, Economic, and Social Influences on Cross-Country COVID-19 Transmission

Mohammad Alamgir Hossain, S. M. Rifat Hassan, Moktarul Islam, Asaf-Ud Daula, Mst. Helen Parvin and Md. Farouq Imam
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Mohammad Alamgir Hossain: Department of Economics, Cox’s Bazar Government College, Bangladesh.
S. M. Rifat Hassan: Department of Business Administration, European University of Bangladesh, Dhaka, Bangladesh.
Moktarul Islam: Department of Statistics, Nandina Sheikh Anwar Hossain College, Bangladesh.
Asaf-Ud Daula: Department of Business Administration, Northern University of Business and Technology, Khulna, Bangladesh.
Mst. Helen Parvin: Department of Accounting, Hajee Mohammad Danesh Science and Technology University, Dinajpur, Bangladesh.
Md. Farouq Imam: Department of Agriculture and Applied Statistics, Bangladesh Agricultural University, Bangladesh.

Journal of Scientific Reports, 2025, vol. 10, issue 1, 130-143

Abstract: The SARS-CoV-2 virus, originating in Wuhan, China, has spread globally, leading to millions of infections and thousands of fatalities. Nevertheless, the dispersion of the disease across diverse countries and regions exhibits substantial disparities. It is imperative to investigate the factors contributing to the varying impact on different countries and territories. In this study, we employed straightforward statistical methods to explore potential associations between disease severity and the environmental, economic, and social factors of countries. Our analysis reveals that countries with lower average annual temperatures, greater economic openness, and more robust political democracies tend to exhibit a higher incidence of confirmed Coronavirus cases. However, it is essential to exercise caution when interpreting these findings, as statistical relationships do not inherently imply causation. The elucidation of how the virus behaves in distinct environments necessitates clinical experiments conducted by medical experts.

Keywords: Coronavirus; temperature; openness; straightforward statistical methods; democracy (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:aif:report:v:10:y:2025:i:1:p:130-143

DOI: 10.58970/JSR.1120

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