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监测欧洲 COVID-19 死亡率的影响:从 2009 年甲型 H1N1p 流感死亡率研究中可以学到什么?

Monitoring the mortality impact of COVID-19 in Europe: What can be learned from 2009 influenza H1N1p mortality studies?

机构信息

Netherlands Institute for Health Services Research (Nivel), Utrecht, The Netherlands.

Independent Consultant, Portland, ME, USA.

出版信息

Int J Infect Dis. 2021 Jan;102:115-117. doi: 10.1016/j.ijid.2020.10.037. Epub 2020 Oct 16.

Abstract

OBJECTIVES

Understanding the proportion of pandemic deaths captured as 'laboratory-confirmed' deaths is crucial. We assessed the ability of laboratory-confirmed deaths to capture mortality in the EU during the 2009 pandemic, and examined the likelihood that these findings are applicable to the SARS-CoV-2 pandemic.

METHODS

We present unpublished results from the Global Pandemic Mortality (GLaMOR) project, in which country-specific mortality estimates were made for the 2009 influenza H1N1p pandemic. These estimates were compared with laboratory-confirmed deaths during the 2009 pandemic to estimate the ability of surveillance systems to capture pandemic mortality.

RESULTS

For the 2009 influenza H1N1p pandemic, we estimated that the proportion of true pandemic deaths captured by laboratory-confirmed deaths was approximately 67%. Several differences between the two pandemics (e.g. age groups affected) make it unlikely that this capture rate will be equally high for SARS-CoV-2.

CONCLUSION

The surveillance of laboratory-confirmed deaths in the EU during the 2009 pandemic was more accurate than previously assumed. We hypothesize that this method is less reliable for SARS-CoV-2. Near-real-time excess all-cause mortality estimates, routinely compiled by EuroMOMO, probably offer a better indicator of pandemic mortality. We urge more countries to join this project and that national-level absolute mortality numbers are presented.

摘要

目的

了解将大流行死亡病例归入“实验室确诊”死亡病例的比例至关重要。我们评估了实验室确诊死亡病例在 2009 年大流行期间捕捉死亡率的能力,并研究了这些发现是否适用于 SARS-CoV-2 大流行的可能性。

方法

我们展示了全球大流行死亡率(GLaMOR)项目的未发表结果,该项目针对 2009 年甲型 H1N1 流感大流行制定了特定国家的死亡率估计数。将这些估计数与 2009 年大流行期间的实验室确诊死亡病例进行比较,以估计监测系统捕捉大流行死亡率的能力。

结果

对于 2009 年甲型 H1N1 流感大流行,我们估计实验室确诊死亡病例中真正的大流行死亡病例比例约为 67%。两次大流行之间存在几个差异(例如受影响的年龄组),这使得 SARS-CoV-2 的捕获率不太可能同样高。

结论

2009 年大流行期间欧盟对实验室确诊死亡病例的监测比之前假设的更准确。我们假设这种方法对 SARS-CoV-2 的可靠性较低。由 EuroMOMO 定期编制的近乎实时的全因死亡率估计数可能是大流行死亡率的更好指标。我们敦促更多国家加入该项目,并提出国家级绝对死亡率数字。

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