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Does the Prosperity of a Country Play a Role in COVID-19 Outcomes?

Published online by Cambridge University Press:  12 August 2020

Amir Khorram-Manesh*
Affiliation:
Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden Department of Research and Development, Swedish Armed Forces Defense Medicine Center, V. Frölunda, Sweden
Eric Carlström
Affiliation:
Institute of Health and Care Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden School of Business, University of Southeast Norway, Vestfold, Norway
Attila J. Hertelendy
Affiliation:
Department of Information Systems and Business Analytics, College of Business, Florida International University, Miami, FL
Krzysztof Goniewicz
Affiliation:
Department of Aviation Security, Military University of Aviation, 08-521 Dęblin, Poland
Carter B. Casady
Affiliation:
Faculty of the Built Environment, Bartlett School of Construction and Project Management, University College London, United Kingdom
Frederick M. Burkle Jr.
Affiliation:
Harvard Humanitarian Initiative, Harvard University and T.H. Chan School of Public Health, Boston, MA
*
Correspondence and reprint requests to Amir Khorram-Manesh, Sahlgrenska University Hospital, Blå Stråket 5B, Dept. of Surgery, 413 45, Gothenburg, Sweden (e-mail: Amir.khorram-manesh@surgery.gu.se).
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Abstract

Objective:

This study aims to clarify the association between prosperity and the coronavirus disease (COVID-19) outcomes and its impact on the future management of pandemics.

Methods:

This is an observational study using information from 2 online registries. The numbers of infected individuals and deaths and the prosperity rank of each country were obtained from worldometer.info and the Legatum Institute’s Prosperity Index, respectively.

Results:

There is a combination of countries with high and low prosperity on the list of COVID-19-infected countries. The risk of the virus pandemic seems to be more extensive in countries with high prosperity. A Spearman’s rho test confirmed a significant correlation between prosperity, the number of COVID-19 cases, and the number of deaths at the 99% level.

Conclusion:

New emerging pandemics affect all nations. In order to increase the likelihood of successfully managing future events, it is important to consider preexisting health security, valid population-based management approaches, medical decision-making, communication, continuous assessment, triage, treatment, early and complete physical distancing strategies, and logistics. These elements cannot be taught on-site and on occasion. There is a need for innovative and regular educational activities for all stakeholders committed to safeguarding our future defense systems concerning diagnostic, protection, treatment, and rehabilitation in pandemics, as well as other emergencies.

Information

Type
Original Research
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
Copyright © 2020 Society for Disaster Medicine and Public Health, Inc.
Figure 0

TABLE 1 Included Countries 1–26 and 100–126 According to COVID-19 Ranking List During the Study Period and in 4 Different Occasions

Figure 1

FIGURE 1 Showing the Correlation Between Fatality Rate and Prosperity in COVID-19 Ranked Countries on May 21, 2020.

Figure 2

FIGURE 2 Showing the Correlation Between Fatality Rate and Prosperity in COVID-19 Ranked Countries on May 28, 2020.

Figure 3

FIGURE 3 Showing the Correlation Between Fatality Rate and Prosperity in COVID-19 Ranked Countries on June 4, 2020.

Figure 4

FIGURE 4 Showing the Correlation Between Fatality Rate and Prosperity in COVID-19 Ranked Countries on June 11, 2020.

Figure 5

TABLE 2 Ranks and Statistics of Prosperity, Total Cases Per 1 Million of Population

Figure 6

TABLE 3 Ranks and Statistics of Prosperity, Deaths Per 1 Million of Population (N = 201)