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在全球死亡率最高的20个国家中,新冠疫情期间老年人的超额死亡率以及所有年龄段的累计超额死亡率。

Excess mortality in older adults and cumulative excess mortality across all ages during the COVID-19 pandemic in the 20 countries with the highest mortality rates worldwide.

作者信息

Chakraborty Chiranjib, Bhattacharya Manojit, Lee Sang-Soo

机构信息

Department of Biotechnology, School of Life Science and Biotechnology, Adamas University, Kolkata, India.

Department of Zoology, Fakir Mohan University, Balasore, India.

出版信息

Osong Public Health Res Perspect. 2025 Feb;16(1):42-58. doi: 10.24171/j.phrp.2024.0186. Epub 2025 Feb 13.

DOI:10.24171/j.phrp.2024.0186
PMID:39967006
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11917389/
Abstract

BACKGROUND

Mortality statistics during the coronavirus disease 2019 (COVID-19) pandemic are crucial for the allocation of medical care resources and public health decision-making. This study was initiated to investigate the excess mortality among older adults during the pandemic. Our research focuses on 2 primary areas. First, we analyzed the cumulative excess mortality across all age groups to assess the global impact and specifically examined the top 20 countries with the highest mortality rates during the pandemic. Second, we explored excess deaths among older adults by categorizing data from the years 2020 and 2021 into age groups: 65-74, 75-84, and above 85.

METHODS

We analyzed data from the top 20 countries with the highest mortality rates globally, focusing on 3 components: all-cause mortality means, expected deaths mean, and excess deaths mean for both older men and women.

RESULTS

Although excess mortality is higher among older men and women across all 3 age groups (65-74, 75-84, and >85), the highest mean excess mortality was observed in women over the age of 85.

CONCLUSION

The results indicate that the severe acute respiratory syndrome coronavirus 2 virus had a disproportionately intense impact on older women. We developed 2 types of statistical models using the data: a binomial distribution model and a correlation coefficient model, both considering the mean excess deaths in older men and women across these 3 age groups. Estimating the excess mortality among older adults will aid in the formulation of healthcare policies for this demographic.

摘要

背景

2019年冠状病毒病(COVID-19)大流行期间的死亡率统计对于医疗资源分配和公共卫生决策至关重要。本研究旨在调查大流行期间老年人的超额死亡率。我们的研究集中在两个主要领域。第一,我们分析了所有年龄组的累积超额死亡率,以评估全球影响,并特别考察了大流行期间死亡率最高的20个国家。第二,我们通过将2020年和2021年的数据按年龄组分类,即65 - 74岁、75 - 84岁和85岁以上,来探究老年人中的超额死亡情况。

方法

我们分析了全球死亡率最高的20个国家的数据,重点关注三个组成部分:所有原因死亡率均值、预期死亡均值以及老年男性和女性的超额死亡均值。

结果

尽管在所有三个年龄组(65 - 74岁、75 - 84岁和85岁以上)中,老年男性和女性的超额死亡率都较高,但85岁以上女性的平均超额死亡率最高。

结论

结果表明,严重急性呼吸综合征冠状病毒2对老年女性的影响尤为严重。我们使用这些数据开发了两种统计模型:二项分布模型和相关系数模型,两者均考虑了这三个年龄组中老年男性和女性的平均超额死亡情况。估计老年人中的超额死亡率将有助于为这一人群制定医疗保健政策。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90a9/11917389/651957e79423/j-phrp-2024-0186f7.jpg
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