| Literature DB >> 32782059 |
Amir Khorram-Manesh1,2, Eric Carlström3,4, Attila J Hertelendy5, Krzysztof Goniewicz6, Carter B Casady7, Frederick M Burkle8.
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.Entities:
Keywords: COVID-19; mortality; pandemic; prosperity; public health emergencies
Mesh:
Year: 2020 PMID: 32782059 PMCID: PMC7477401 DOI: 10.1017/dmp.2020.304
Source DB: PubMed Journal: Disaster Med Public Health Prep ISSN: 1935-7893 Impact factor: 1.385
Included Countries 1–26 and 100–126 According to COVID-19 Ranking List During the Study Period and in 4 Different Occasions
| Ranked 21 May | Ranked 28 May | Ranked 4 June | Ranked 11 May | |
|---|---|---|---|---|
| Countries 1–26 | United States | United States | United States | United States |
| Countries 101–126 | Guinea-Bissau | Slovenia | Slovakia | Sri Lanka |
FIGURE 1Showing the Correlation Between Fatality Rate and Prosperity in COVID-19 Ranked Countries on May 21, 2020.
FIGURE 4Showing the Correlation Between Fatality Rate and Prosperity in COVID-19 Ranked Countries on June 11, 2020.
FIGURE 2Showing the Correlation Between Fatality Rate and Prosperity in COVID-19 Ranked Countries on May 28, 2020.
FIGURE 3Showing the Correlation Between Fatality Rate and Prosperity in COVID-19 Ranked Countries on June 4, 2020.
Ranks and Statistics of Prosperity, Total Cases Per 1 Million of Population
| Prosperity Rank | Total Cases of COVID-19 Per 1 M Population | ||
|---|---|---|---|
| Correlation coefficient | 1.0 | -0.644 | |
| Sig. (2-tailed) | 0.00 | ||
| Correlation coefficient | -0.644 | 1.0 | |
Ranks and Statistics of Prosperity, Deaths Per 1 Million of Population (N = 201)
| Prosperity Rank | Total Deaths of COVID-19 Per 1 M Population | ||
|---|---|---|---|
| Correlation coefficient | 1.0 | -0.622 | |
| Sig. (2-tailed) | 0.00 | ||
| Correlation coefficient | -0.622 | 1.0 | |