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[新型冠状病毒肺炎的病死率:无流行病学模式]

[Case fatality rate of COVID-19: absence of epidemiological pattern].

作者信息

Medeiros de Figueiredo Alexandre, Daponte Antonio, Moreira Marculino de Figueiredo Daniela Cristina, Gil-García Eugenia, Kalache Alexandre

机构信息

Departamento de Promoción de la Salud, Universidade Federal da Paraíba, João Pessoa, Brasil.

Programa de Posgrado en Ciencias de la Salud, Universidade Federal do Rio Grande do Norte, Natal, Brasil.

出版信息

Gac Sanit. 2021 Jul-Aug;35(4):355-357. doi: 10.1016/j.gaceta.2020.04.001. Epub 2020 Apr 4.

DOI:10.1016/j.gaceta.2020.04.001
PMID:32354565
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7129244/
Abstract

OBJECTIVE

Analyze a set of indicators to understand the variability of the evolution and impact of the COVID-19 epidemic in a set of selected countries.

METHOD

Ecological study of a group of countries with more than 200 reported cases. Demographic variables, health expenditure variables, and variables about characteristics of health services were included as explanatory variables. and incidence, mortality and fatality rates have been analyzed as response variables. In addition, a relative fatality index has been created. Data are from international organizations. Spearman's correlation coefficient was used to estimate the magnitude of the associations.

RESULTS

Number of tests and of medical professionals are associated with a higher incidence rate. Mortality and case fatality rate are not associated with demographic, health expenditure, or health services variables.

CONCLUSION

Differences suggest a general underestimation of the magnitude of the epidemic. Improvement of case identification and effectiveness of epidemiological surveillance systems is necessary.

摘要

目的

分析一组指标,以了解新冠疫情在一组选定国家中的演变情况及影响的变异性。

方法

对一组报告病例超过200例的国家进行生态研究。将人口统计学变量、卫生支出变量以及卫生服务特征变量作为解释变量。将发病率、死亡率和病死率作为反应变量进行分析。此外,还创建了一个相对病死率指数。数据来自国际组织。使用斯皮尔曼相关系数来估计关联的程度。

结果

检测次数和医疗专业人员数量与较高的发病率相关。死亡率和病死率与人口统计学、卫生支出或卫生服务变量无关。

结论

差异表明疫情规模普遍被低估。有必要改进病例识别和流行病学监测系统的有效性。

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