分析Covid-19流行轨迹:各国是否正在使曲线趋平?

A. Everts, Devaraj M. Navaratnam, S. Navaratnam, D. Navaratnam
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引用次数: 1

摘要

我们从轨迹的相对陡峭度和预计流行持续时间,即“曲线的平坦度”,对不同国家的新冠肺炎流行轨迹进行了评估。方法:我们使用了每个国家每天报告的COVID-19病例和死亡人数的开放域数据。分析了47个国家的子集。数据采用Gompertz方程的解析模型进行拟合。与模式预测有关的不确定性也被量化。为了将不同国家的流行轨迹差异与这些国家政府采取的缓解措施联系起来,我们使用了由牛津大学和布拉瓦尼克学院开发和发布的COVID-19政府应对严格程度指数。结果:所有国家的质量拟合均可接受,R2大多大于0.98。最终病例数和/或死亡数的不确定性通常在疫情早期是两个因素,但随着疫情的发展,这种不确定性会迅速减少。疫情持续时间的不确定性也有所减少,但速度较慢。获得疫情持续时间、疫情峰值和最终死亡率等关键参数的统计数据,然后与政府措施的严格程度进行交叉关联,记录在严格程度评分中。最重要的是,我们发现在疫情开始时,随着政府严格程度的增加,疫情高峰高度明显下降(在较小程度上,疫情持续时间缩短)。我们还发现,最终死亡率随着政府检测和接触者追踪的严格程度的增加而下降。结论:虽然大多数国家的COVID-19流行轨迹相似,但一些国家的轨迹确实比其他国家平坦,而且不那么严重。我们的分析表明,政府在COVID-19爆发的最初阶段采取的缓解措施可能会显著影响疫情的严重程度,并在较小程度上影响疫情的持续时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysing Covid-19 Epidemic Trajectories: are Countries Flattening the Curve?
Introduction: We evaluated COVID19 epidemic trajectories of different countries in terms of relative trajectory steepness and anticipated epidemic duration, in other words “flatness of the curve”. Methods: We used open-domain data on COVID-19 reported cases and deaths per country per day. A subset of 47 countries was analysed. Data were fitted with an analytical model following Gompertz equation. Uncertainty pertaining to the model forecasts was also quantified. To relate differences in epidemic trajectories of different countries to the mitigation approach taken by governments of those countries, we made use of the COVID-19 Government Response Stringency Index developed and published by Oxford University and Blavatnik School. Results: Acceptable quality fits were obtained for all the countries with R2 mostly in excess of 0.98. Uncertainty on the final Cases and/or Deaths count is typically a factor of two early in the epidemic but this quickly reduces as the epidemic progresses. Uncertainty on Epidemic Duration also reduces but less fast. Statistics on key parameters like Epidemic Duration, Epidemic Peak and Final Mortality Rate were obtained and then cross-correlated with the rigor of government measures as recorded in the Stringency Score. Most significantly, we find a clear trend of decreasing Peak Epidemic height (and to a less extent, shorter Epidemic Duration) with increased Government Stringency at the epidemic onset. We also find that Final Mortality Rate decreases with increased Stringency of Government Testing and Contact-Tracing. Conclusions: Whilst COVID-19 epidemic trajectories for most countries are similar, some countries do have flatter and less severe trajectories than others. Our analysis suggests that mitigation measures taken by a government at the very initial stage of a COVID-19 outbreak might significantly impact severity and to a less extent duration of the epidemic.
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