COVID-19在欧洲国家的比较流行:第二波的时间窗口

J. Tallon, Paulo Gomes, L. Bacelar-Nicolau
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引用次数: 2

摘要

由COVID-19引起的大流行彻底改变了人们的日常生活,改变了他们与家人和朋友的关系,出乎意料地破坏了他们的工作条件,并加强了对持久抵御第二波疾病的需求。至关重要的是,要不断更新我们对COVID-19在大面积互联地区流行和发病率演变的认识,在这些地区,这种疾病的发病率惊人。目的:本研究的主要目的是确定和描述在欧洲大流行开始七个月后,欧盟和EEE/EFTA国家的COVID-19流行率、发病率和死亡率概况,以及最近可能与第二波开始有关的趋势。方法:本研究涵盖31个欧洲国家。2020年10月25日,每10万居民分析了6个流行病学变量,其中2个在前7天进行了评估。采用基于秩主成分和聚类分析的多元统计探索性分析。结果:在31个国家(欧盟、英国和3个EEE/EFTA国家)中确定了6个国家群集的COVID-19流行类型。5个流行病学变量和检验次数显示,离群值的差异更大。数据的等级转换及其多变量统计分析使我们能够构建一个合理的方法来更好地区分和描述这些聚集性,确定与3月至10月底全球流行情况相关的具体行为,或强调在第二波大流行背景下COVID-19发病率的最新演变。事实上,我们确定了COVID-19达到惊人水平的国家群,这些水平在第二波浪潮开始时持续存在,甚至恶化。此外,还确定了另外两组:一组国家似乎正在演变成一种得到控制的情况,另一组国家在第一波疫情中受到的打击非常微弱,但现在正面临非常复杂的激增,这将考验它们的卫生系统能力和对covid和非covid患者的及时反应。最后,最糟糕和更严重的情况发生在每10万居民死亡人数达到令人印象深刻的累积分数的国家。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparative prevalence of COVID–19 in european countries: a time window at second wave
Introduction: The pandemic generated by COVID–19 completely changed people's daily lives, their relationship with family and friends, unexpectedly disrupted their working conditions and enhanced the need for an enduring resilience to face yet a second wave of the disease. It is crucial to keep continuously updating our knowledge about COVID–19 prevalence and incidence evolutions over large connected territories, where the disease is striking in alarming proportions. Objective: The main objective of this research is to identify and describe COVID–19 prevalence, incidence and mortality profiles in EU and EEE/EFTA countries, seven months after the start of the pandemic in Europe, and more recent tendencies, probably associated to the beginning of a second wave. Methods: This COVID–19 study covers thirty–one European countries. Six epidemiological variables where analyzed per 100 000 inhabitants on October 25 2020, two of them evaluated over the seven previous days. A multivariate statistical exploratory analysis based on rank principal components and cluster analysis was applied. Results: A COVID–19 prevalence typology of six country clusters was identified regarding 31 countries (EU, UK and three EEE/EFTA countries). The five epidemiological variables and number of tests revealed a wider dispersion with outlier observations. The rank transformation of data and their multivariate statistical analysis allowed us to construct a rational to better discriminate and describe these clusters, identifying specific behaviours related to the global prevalence from March until the end of October or highlight recent evolutions of COVID–19 incidence in the context of a second wave of pandemic. In fact we pinpointed country clusters where COVID–19 reached alarming levels which persist, or have even worsen, at the beginning of the second wave. Additionally, two other clusters were identified: one with countries that seems to be evolving into a situation under control, and another cluster of countries very weakly struck on the first wave, but are now facing a very complex surge, that will test their health systems capacity and timely response regarding covid and non–covid patients. Finally, the worst and more dramatic situation occurred in countries where the number of deaths per 100 000 inhabitants attained an impressive cumulative score.
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