Department of Biomedical and Health Information Sciences, University of Illinois at Chicago, Chicago, IL, United States.
Royal Surrey County Hospital, Guildford, United Kingdom.
Int J Public Health. 2022 Sep 13;67:1604915. doi: 10.3389/ijph.2022.1604915. eCollection 2022.
The objective of this study was to examine the association between several country-level systemic indices and the deaths from COVID-19 across African countries. Regression analyses were conducted to test the association between selected indices and deaths from COVID-19 across African countries. All tests were run at the = 0.05 level of significance. We found a statistically significant correlation between total COVID-19 deaths per million and Stringency Index (-value <0.001) and Human Development Index (-value <0.001). Multiple regression analysis showed that Stringency Index was the only variable that remained significant when other factors are controlled for in the model. Countries in Africa with poorer governance, inadequate pandemic preparedness and lower levels of development have unexpectedly fared better with respect to COVID-19 deaths mainly because of having a younger population than the countries with better indices.
本研究旨在探讨几个国家层面的系统指标与非洲国家 COVID-19 死亡人数之间的关联。采用回归分析检验了选定指标与非洲国家 COVID-19 死亡人数之间的关联。所有检验均在显著性水平 = 0.05 下进行。我们发现，每百万 COVID-19 总死亡人数与严格指数（- 值<0.001）和人类发展指数（- 值<0.001）之间存在统计学上的显著相关性。多元回归分析表明，在控制模型中的其他因素后，严格指数是唯一仍然显著的变量。在治理较差、大流行准备不足和发展水平较低的非洲国家，COVID-19 死亡人数出人意料地较低，主要原因是其人口比指数较高的国家年轻。
