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Factors Affecting the Cases and Deaths of COVID-19 Victims

Author

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  • Jerald M. Velasco

    (Department of Applied Economics, National Chung Hsing University, Taichung 402, Taiwan)

  • Wei-Chun Tseng

    (Department of Applied Economics, National Chung Hsing University, Taichung 402, Taiwan)

  • Chia-Lin Chang

    (Department of Applied Economics, National Chung Hsing University, Taichung 402, Taiwan
    Department of Finance, National Chung Hsing University, Taichung 402, Taiwan)

Abstract

This paper attempts to find the factors that affect the number of cases and deaths of coronavirus disease 2019 (COVID-19) patients a year after the first outbreak in Wuhan, China. There were 141 countries affected with COVID-19 involved in the study. Countries were grouped based on population. Using ordinary least squares regression, it was found that the total number of cases and deaths were significantly related with the levels of population of the different countries. On the overall, median age of the country, and average temperature are positively related with the number of deaths from the virus. On the other hand, population density is positively related with the deaths due to COVID for low populated countries. The result of this preliminary study can be used as a benchmark for authorities in the formulation of policies with regards to treating COVID-19 related issues.

Suggested Citation

  • Jerald M. Velasco & Wei-Chun Tseng & Chia-Lin Chang, 2021. "Factors Affecting the Cases and Deaths of COVID-19 Victims," IJERPH, MDPI, vol. 18(2), pages 1-10, January.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:2:p:674-:d:480520
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    References listed on IDEAS

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    1. Facundo Piguillem & Liyan Shi, 2022. "Optimal Covid-19 Quarantine and Testing Policies," The Economic Journal, Royal Economic Society, vol. 132(647), pages 2534-2562.
    2. Essam A. Rashed & Sachiko Kodera & Jose Gomez-Tames & Akimasa Hirata, 2020. "Influence of Absolute Humidity, Temperature and Population Density on COVID-19 Spread and Decay Durations: Multi-Prefecture Study in Japan," IJERPH, MDPI, vol. 17(15), pages 1-14, July.
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    Cited by:

    1. Shirley Gee Hoon Tang & Muhamad Haziq Hasnul Hadi & Siti Rosilah Arsad & Pin Jern Ker & Santhi Ramanathan & Nayli Aliah Mohd Afandi & Madihah Mohd Afzal & Mei Wyin Yaw & Prajindra Sankar Krishnan & Ch, 2022. "Prerequisite for COVID-19 Prediction: A Review on Factors Affecting the Infection Rate," IJERPH, MDPI, vol. 19(20), pages 1-38, October.
    2. Elie Yammine & Abbas Rammal, 2021. "Path Analysis to Assess Socio-Economic and Mitigation Measure Determinants for Daily Coronavirus Infections," IJERPH, MDPI, vol. 18(19), pages 1-19, September.

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