Biogéosciences, CNRS UMR 6282, Université de Bourgogne Franche-Comté, 6 Boulevard Gabriel, 21000, Dijon, France.
CNRS ISEM - CIRAD ASTRE - Montpellier Université, Montpellier, France.
Sci Rep. 2020 Nov 3;10(1):18909. doi: 10.1038/s41598-020-75848-2.
While the epidemic of SARS-CoV-2 has spread worldwide, there is much concern over the mortality rate that the infection induces. Available data suggest that COVID-19 case fatality rate had varied temporally (as the epidemic has progressed) and spatially (among countries). Here, we attempted to identify key factors possibly explaining the variability in case fatality rate across countries. We used data on the temporal trajectory of case fatality rate provided by the European Center for Disease Prevention and Control, and country-specific data on different metrics describing the incidence of known comorbidity factors associated with an increased risk of COVID-19 mortality at the individual level. We also compiled data on demography, economy and political regimes for each country. We found that temporal trajectories of case fatality rate greatly vary among countries. We found several factors associated with temporal changes in case fatality rate both among variables describing comorbidity risk and demographic, economic and political variables. In particular, countries with the highest values of DALYs lost to cardiovascular, cancer and chronic respiratory diseases had the highest values of COVID-19 CFR. CFR was also positively associated with the death rate due to smoking in people over 70 years. Interestingly, CFR was negatively associated with share of death due to lower respiratory infections. Among the demographic, economic and political variables, CFR was positively associated with share of the population over 70, GDP per capita, and level of democracy, while it was negatively associated with number of hospital beds ×1000. Overall, these results emphasize the role of comorbidity and socio-economic factors as possible drivers of COVID-19 case fatality rate at the population level.
虽然 SARS-CoV-2 疫情已在全球范围内蔓延,但人们仍十分关注该病毒感染所导致的死亡率。现有数据表明,COVID-19 的病死率在时间上(随着疫情的发展)和空间上(在各国之间)存在差异。在此,我们试图确定可能解释各国间病死率差异的关键因素。我们使用了欧洲疾病预防控制中心提供的病死率时间轨迹数据,以及各国特定的与 COVID-19 死亡率增加相关的已知合并症因素发生率相关的不同指标数据,这些指标描述了个体水平的风险。我们还汇编了每个国家的人口统计学、经济和政治制度的数据。我们发现病死率的时间轨迹在各国之间存在很大差异。我们发现了几个与病死率的时间变化相关的因素,这些因素既存在于描述合并症风险的变量中,也存在于人口统计学、经济和政治变量中。特别是,心血管疾病、癌症和慢性呼吸系统疾病造成的 DALYs 损失最高的国家,COVID-19 的 CFR 值也最高。CFR 还与 70 岁以上人群因吸烟导致的死亡率呈正相关。有趣的是,CFR 与下呼吸道感染导致的死亡率呈负相关。在人口统计学、经济和政治变量中,CFR 与 70 岁以上人口比例、人均 GDP 和民主程度呈正相关,而与每千张病床数量呈负相关。总的来说,这些结果强调了合并症和社会经济因素在人群层面上可能是 COVID-19 病死率的驱动因素。