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新冠病毒病死亡人数的高估和低估。

Over- and under-estimation of COVID-19 deaths.

机构信息

Department of Medicine, Stanford University, Stanford, CA, USA.

Department of Epidemiology and Population Health, Stanford University, Stanford, CA, USA.

出版信息

Eur J Epidemiol. 2021 Jun;36(6):581-588. doi: 10.1007/s10654-021-00787-9. Epub 2021 Jul 28.

Abstract

The ratio of COVID-19-attributable deaths versus "true" COVID-19 deaths depends on the synchronicity of the epidemic wave with population mortality; duration of test positivity, diagnostic time window, and testing practices close to and at death; infection prevalence; the extent of diagnosing without testing documentation; and the ratio of overall (all-cause) population mortality rate and infection fatality rate. A nomogram is offered to assess the potential extent of over- and under-counting in different situations. COVID-19 deaths were apparently under-counted early in the pandemic and continue to be under-counted in several countries, especially in Africa, while over-counting probably currently exists for several other countries, especially those with intensive testing and high sensitization and/or incentives for COVID-19 diagnoses. Death attribution in a syndemic like COVID-19 needs great caution. Finally, excess death estimates are subject to substantial annual variability and include also indirect effects of the pandemic and the effects of measures taken.

摘要

新冠病毒相关死亡人数与“真正的”新冠死亡人数之比取决于疫情与人口死亡率的同步性;检测阳性的持续时间、诊断时间窗口以及接近死亡时和死亡时的检测实践;感染流行率;在没有检测文件的情况下进行诊断的程度;以及总体(全因)人口死亡率和感染病死率的比值。提供了一个诺莫图来评估在不同情况下过度和低估的潜在程度。在大流行早期,新冠病毒死亡人数显然被低估了,在几个国家(尤其是非洲)仍在被低估,而在其他几个国家(尤其是那些进行了大量检测以及对新冠病毒诊断有高度敏感性和/或激励措施的国家),可能存在高估的情况。像新冠病毒这样的综合征中的死亡归因需要非常谨慎。最后,超额死亡估计值每年都有很大的变化,还包括大流行的间接影响和所采取措施的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/62a8/8332566/55982faa1d4c/10654_2021_787_Fig1_HTML.jpg

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