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利用世界死亡率数据集追踪 COVID-19 大流行期间各国的超额死亡率。

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

机构信息

Hebrew University, Jerusalem, Israel.

Institute for Ophthalmic Research, University of Tübingen, Tübingen, Germany.

出版信息

Elife. 2021 Jun 30;10:e69336. doi: 10.7554/eLife.69336.

DOI:10.7554/eLife.69336
PMID:34190045
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8331176/
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 103 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 (Peru, Ecuador, Bolivia, Mexico) or above 400 excess deaths per 100,000 population (Peru, Bulgaria, North Macedonia, Serbia). At the same time, in several other countries (e.g. Australia and 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), by up to two orders of magnitude (Tajikistan). Our results highlight the importance of open and rapid all-cause mortality reporting for pandemic monitoring.

摘要

比较各国或不同时间的 COVID-19 大流行的影响是困难的,因为报告的病例和死亡人数可能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 COVID-19 死亡人数的更客观指标。然而,目前还没有一个全球性的、经常更新的各国全因死亡率数据库。为了填补这一空白,我们从 103 个国家和地区收集了每周、每月或每季度的全因死亡率数据,并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 COVID-19 大流行期间的超额死亡率。我们发现,在一些受影响最严重的国家(秘鲁、厄瓜多尔、玻利维亚、墨西哥),超额死亡率超过预期年死亡率的 50%(秘鲁、厄瓜多尔、玻利维亚、墨西哥)或每 10 万人超过 400 例超额死亡(秘鲁、保加利亚、北马其顿、塞尔维亚)。与此同时,在其他几个国家(如澳大利亚和新西兰),大流行期间的死亡率低于通常水平,这可能是由于社会隔离措施降低了非 COVID-19 传染性死亡率。此外,我们发现,虽然许多国家非常准确地报告了 COVID-19 死亡人数,但一些国家大大低估了 COVID-19 死亡人数(例如尼加拉瓜、俄罗斯、乌兹别克斯坦),低估幅度高达两个数量级(塔吉克斯坦)。我们的结果强调了开放和快速的全因死亡率报告对于大流行监测的重要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0337/8331176/1bae4294c14f/elife-69336-fig4.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0337/8331176/1bae4294c14f/elife-69336-fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0337/8331176/0260c902fac0/elife-69336-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0337/8331176/fd9bd5bcbeda/elife-69336-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0337/8331176/0f8236bfb9f3/elife-69336-fig2-figsupp1.jpg
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