Version 1
: Received: 29 March 2023 / Approved: 31 March 2023 / Online: 31 March 2023 (09:42:23 CEST)
How to cite:
Moosa, I.A.; Khatatbeh, I.N. Robust and Fragile Determinants of the Severity of Covid-19 in Developing and Developed Countries: A Comparative Analysis. Preprints2023, 2023030547. https://doi.org/10.20944/preprints202303.0547.v1
Moosa, I.A.; Khatatbeh, I.N. Robust and Fragile Determinants of the Severity of Covid-19 in Developing and Developed Countries: A Comparative Analysis. Preprints 2023, 2023030547. https://doi.org/10.20944/preprints202303.0547.v1
Moosa, I.A.; Khatatbeh, I.N. Robust and Fragile Determinants of the Severity of Covid-19 in Developing and Developed Countries: A Comparative Analysis. Preprints2023, 2023030547. https://doi.org/10.20944/preprints202303.0547.v1
APA Style
Moosa, I.A., & Khatatbeh, I.N. (2023). Robust and Fragile Determinants of the Severity of Covid-19 in Developing and Developed Countries: A Comparative Analysis. Preprints. https://doi.org/10.20944/preprints202303.0547.v1
Chicago/Turabian Style
Moosa, I.A. and Ibrahim N. Khatatbeh. 2023 "Robust and Fragile Determinants of the Severity of Covid-19 in Developing and Developed Countries: A Comparative Analysis" Preprints. https://doi.org/10.20944/preprints202303.0547.v1
Abstract
By using the Sala-i-Martin version of extreme bounds analysis, which is based on the cumulative density function, cross-sectional evidence is presented on the robust determinants of the infection and case mortality rates of Covid-19. The results show that, for most part, different factors determine the infection and mortality rates in developed and developing countries. However, common factors are also apparent, including the risk environment, the number of tests per million and the percentage of population over 65. Notwithstanding the possibility that the official data represent a partial reflection of the truth, it is concluded that the results presented in this study provide useful information that may aid decision-making in the fight against the pandemic.
Keywords
Covid-19; Infection Rate; Case Mortality Rate; Extreme Bounds Analysis; Cumulative Density Function
Subject
Medicine and Pharmacology, Other
Copyright:
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.
