Faculty of Engineering and Management, University of Applied Sciences Ingolstadt, 85049 Ingolstadt, Germany.
Department of Anaesthesia and Intensive Care Medicine, Ingolstadt Hospital, 85049 Ingolstadt, Germany.
Int J Environ Res Public Health. 2021 Jun 21;18(12):6680. doi: 10.3390/ijerph18126680.
(1) Background: to describe the dynamic of the pandemic across 35 European countries over a period of 9 months. (2) Methods: a three-phase time series model was fitted for 35 European countries, predicting deaths based on SARS-CoV-2 incidences. Hierarchical clustering resulted in three clusters of countries. A multiple regression model was developed predicting thresholds for COVID-19 incidences, coupled to death numbers. (3) Results: The model showed strongly connected deaths and incidences during the waves in spring and fall. The corrected case-fatality rates ranged from 2% to 20.7% in the first wave, and from 0.5% to 4.2% in the second wave. If the incidences stay below a threshold, predicted by the regression model (R2=85.0%), COVID-19 related deaths and incidences were not necessarily coupled. The clusters represented different regions in Europe, and the corrected case-fatality rates in each cluster flipped from high to low or vice versa. Severely and less severely affected countries flipped between the first and second wave. (4) Conclusions: COVID-19 incidences and related deaths were uncoupled during the summer but coupled during two waves. Once a country-specific threshold of infections is reached, death numbers will start to rise, allowing health care systems and countries to prepare.
(1) 背景:描述 9 个月期间 35 个欧洲国家的大流行动态。(2) 方法:对 35 个欧洲国家进行了三阶段时间序列模型拟合,根据 SARS-CoV-2 发病率预测死亡人数。层次聚类产生了三个国家集群。开发了一个多元回归模型来预测 COVID-19 发病率的阈值,并结合死亡人数进行预测。(3) 结果:该模型显示,在春季和秋季的波次中,死亡人数和发病率之间存在强烈的相关性。第一波的校正病死率在 2%至 20.7%之间,第二波在 0.5%至 4.2%之间。如果发病率低于回归模型(R2=85.0%)预测的阈值,那么 COVID-19 相关的死亡人数和发病率不一定相关。聚类代表了欧洲不同地区,每个聚类中的校正病死率从高到低或从低到高发生翻转。在第一波和第二波之间,严重和不太严重的国家之间发生了翻转。(4) 结论:COVID-19 发病率和相关死亡人数在夏季是不相关的,但在两次波次中是相关的。一旦一个国家的感染阈值达到,死亡人数就会开始上升,从而使医疗保健系统和国家能够做好准备。