撒哈拉以南非洲地区社会经济和公共卫生指标与COVID-19病死率之间的关系

Annika Kreienbrinck, H. Zeeb, H. Becher
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引用次数: 1

摘要

目的:探讨社会经济和公共卫生指标对撒哈拉以南非洲国家COVID-19病死率(CFR)的影响。方法:利用2020年2月至2021年5月期间来自46个撒哈拉以南非洲国家的公开的COVID-19汇总数据进行生态学研究。作为关注的结果,计算了五个13周期间的国别病死率。分析各变量的时空分布,并采用负二项回归(RR)估计社会经济和公共卫生指标与COVID-19 CFR的相关性。结果:在调查期间,46个撒哈拉以南非洲国家确诊COVID-19病例170万例,死亡29685例。中位CFR在1%到2%之间。较高的人类发展指数(RR = 0.80;95%CI: 0.63-1.02),较高的政治稳定指数(RR = 0.94;95%CI: 0.90-1.00),较高的医院床位数(RR = 0.84;95%CI: 0.73-0.97),较高的人口密度(RR = 0.85;95%CI: 0.71-1.01)导致CFR降低。糖尿病患病率升高(RR = 1.56;95%CI: 0.99-2.45)和心血管疾病死亡率(RR = 1.51;95%CI: 1.04-2.20)与较高的CFR相关。慢性呼吸道疾病和洗手设施对COVID-19 CFR的影响很小或没有影响。结论:研究结果引起了人们对撒哈拉以南非洲地区脆弱性的关注,在解释我们的研究时必须考虑到这一点。然而,既有的疾病比例较低和年龄结构较年轻的潜在好处似乎与社会经济和公共卫生因素带来的挑战形成对比,这些因素可能是人口层面上CFR的潜在驱动因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Associations between socioeconomic and public health indicators and the case-fatality rate of COVID-19 in sub-Saharan Africa
Aim: To investigate the influence of socioeconomic and public health indicators on the COVID-19 case-fatality rate (CFR) in sub-Saharan African countries. Methods: Ecological study using publicly available, aggregated COVID-19 data, between February 2020 to May 2021, from 46 sub-Saharan African countries. As the outcome of interest, country-specific CFRs were calculated for five 13-week periods. Spatial and temporal distributions of the variables were analysed, and negative binomial regressions with rate ratios (RR) were conducted to estimate the association between socioeconomic and public health indicators with CFR of COVID-19. Results: There were 1.7 million confirmed COVID-19 cases and 29,685 deaths in the 46 sub-Saharan African countries during the investigated time period. The median CFR was between 1% and 2%. A higher human development index (RR = 0.80; 95%CI: 0.63-1.02), higher political stability index (RR = 0.94; 95%CI: 0.90-1.00), higher number of hospital beds (RR = 0.84; 95%CI: 0.73-0.97), and higher population density (RR = 0.85; 95%CI: 0.71-1.01) resulted in a lower CFR. Elevated prevalence of diabetes mellitus (RR = 1.56; 95%CI: 0.99-2.45) and cardiovascular disease mortality (RR = 1.51; 95%CI: 1.04-2.20) were associated with higher CFR. Chronic respiratory disease and handwashing facilities presented little to no effects on COVID-19 CFR. Conclusion: The results draw attention to the vulnerabilities of the sub-Saharan African region which must be considered in the interpretation of our study. Nevertheless, the potential benefits of a lower proportion of pre-existing medical conditions and the young age structure seem to be contrasted by challenges due to socioeconomic and public health factors, which may present possible drivers of CFR on a population level.
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