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欧洲九个月的 COVID-19 大流行:35 个国家病例和死亡人数的比较时间序列分析。

Nine Months of COVID-19 Pandemic in Europe: A Comparative Time Series Analysis of Cases and Fatalities in 35 Countries.

机构信息

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.

出版信息

Int J Environ Res Public Health. 2021 Jun 21;18(12):6680. doi: 10.3390/ijerph18126680.

Abstract

(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.

摘要

(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。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/29b9/8296382/b6543d2b2aab/ijerph-18-06680-g001.jpg

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