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《世界死亡率数据集:追踪新冠疫情期间各国的超额死亡率》

The World Mortality Dataset: Tracking excess mortality across countries during the COVID-19 pandemic.

作者信息

Karlinsky Ariel, Kobak Dmitry

机构信息

Hebrew University, Jerusalem, Israel.

Institute for Ophthalmic Research, University of Tübingen, Germany.

出版信息

medRxiv. 2021 Jun 4:2021.01.27.21250604. doi: 10.1101/2021.01.27.21250604.

Abstract

Comparing the impact of the COVID-19 pandemic between countries or across time is difficult because the reported numbers of cases and deaths can be strongly affected by testing capacity and reporting policy. Excess mortality, defined as the increase in all-cause mortality relative to the expected mortality, is widely considered as a more objective indicator of the COVID-19 death toll. However, there has been no global, frequently-updated repository of the all-cause mortality data across countries. To fill this gap, we have collected weekly, monthly, or quarterly all-cause mortality data from 94 countries and territories, openly available as the regularly-updated World Mortality Dataset. We used this dataset to compute the excess mortality in each country during the COVID-19 pandemic. We found that in several worst-affected countries (Peru, Ecuador, Bolivia, Mexico) the excess mortality was above 50% of the expected annual mortality. At the same time, in several other countries (Australia, New Zealand) mortality during the pandemic was below the usual level, presumably due to social distancing measures decreasing the non-COVID infectious mortality. Furthermore, we found that while many countries have been reporting the COVID-19 deaths very accurately, some countries have been substantially underreporting their COVID-19 deaths (e.g. Nicaragua, Russia, Uzbekistan), sometimes by two orders of magnitude (Tajikistan). Our results highlight the importance of open and rapid all-cause mortality reporting for pandemic monitoring.

摘要

比较不同国家之间或不同时期新冠疫情的影响是困难的,因为报告的病例数和死亡数会受到检测能力和报告政策的强烈影响。超额死亡率定义为全因死亡率相对于预期死亡率的增加,被广泛认为是新冠死亡人数的一个更客观指标。然而,目前还没有一个全球范围内、经常更新的各国全因死亡率数据存储库。为了填补这一空白,我们收集了94个国家和地区的每周、每月或每季度的全因死亡率数据,并将其作为定期更新的《世界死亡率数据集》公开提供。我们使用这个数据集来计算每个国家在新冠疫情期间的超额死亡率。我们发现,在几个受影响最严重的国家(秘鲁、厄瓜多尔、玻利维亚、墨西哥),超额死亡率高于预期年死亡率的50%。与此同时,在其他一些国家(澳大利亚、新西兰),疫情期间的死亡率低于正常水平,这可能是由于社交距离措施降低了非新冠感染导致的死亡率。此外,我们发现,虽然许多国家非常准确地报告了新冠死亡人数,但一些国家大幅少报了新冠死亡人数(如尼加拉瓜、俄罗斯、乌兹别克斯坦),有时少报幅度达两个数量级(塔吉克斯坦)。我们的结果凸显了公开和快速报告全因死亡率对于疫情监测的重要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6610/8185602/6378a98b90a9/nihpp-2021.01.27.21250604v3-f0001.jpg

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