Robust and fragile determinants of the severity of COVID-19 in developing and developed countries: a comparative analysis

PurposeThe primary objective of this paper is to explore the robust determinants influencing the infection rate and case mortality rate of COVID-19 in both developing and developed economies. The analysis is conducted using a dataset encompassing 148 countries.Design/methodology/approachTo achieve t...

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Bibliographic Details
Published in:Journal of Business and Socio-economic Development 2024-01, Vol.4 (4), p.308-325
Main Authors: Moosa, Imad A., Khatatbeh, Ibrahim N.
Format: Article
Language:English
Subjects:
Case mortality rate
Comparative analysis
Comparative studies
COVID-19
Cumulative density function
Decision makers
Developed countries
Developing countries
Disease prevention
Disease transmission
Economic development
Epidemics
Extreme bounds analysis
GDP
Gross Domestic Product
Industrialized nations
Infection rate
Infections
Infectious diseases
LDCs
Mortality
Mortality rates
Pandemics
Per capita
Population density
Citations: Items that this one cites
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Summary:PurposeThe primary objective of this paper is to explore the robust determinants influencing the infection rate and case mortality rate of COVID-19 in both developing and developed economies. The analysis is conducted using a dataset encompassing 148 countries.Design/methodology/approachTo achieve this goal, empirical testing utilizes the Sala-i-Martin version of extreme bounds analysis, a method grounded in the cumulative density function. This approach allows for a comprehensive exploration of potential determinants.FindingsThe analysis results reveal that, to a large extent, distinct factors contribute to the infection and mortality rates in developed and developing countries. Notwithstanding these differences, certain common factors emerge, such as the risk environment, the number of tests conducted per million people and the percentage of the population over 65.Originality/valueDespite acknowledging the potential limitations inherent in official data, this study concludes that the presented results offer valuable insights. The identified determinants, both unique and common, contribute to understanding the dynamics of COVID-19 in diverse economic settings. The information gleaned from this research holds significance for decision-makers involved in combating the ongoing pandemic.
ISSN:2635-1374
2635-1692
DOI:10.1108/JBSED-02-2024-0019