COVID-19 及相关死亡率指标造成的生命损失年数:30 个国家的说明。

IF 1.3 3区 生物学 Q4 MATHEMATICAL & COMPUTATIONAL BIOLOGY Biometrical Journal Pub Date : 2024-07-13 DOI:10.1002/bimj.202300386
Valentin Rousson, Isabella Locatelli
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摘要

潜在)寿命损失年数的概念是衡量过早死亡率的一个指标,可用来比较不同具体死因的影响。然而,由于缺乏合理的参考值,从表面价值来解释给定的生命损失年数问题较大。在本文中,我们提出了三个分母来划分一个超额寿命损失年数,从而得到三个指标,即平均寿命损失、寿命损失增加和寿命损失比例,这三个指标应有助于解释和比较。我们研究了这三个指标与传统死亡率指标(如预期寿命和标准化死亡率)之间的联系,引入了加权标准化死亡率的概念,并在 30 个国家进行了计算,以评估 COVID-19 对 2020 年死亡率的影响。使用这三个指标中的任何一个,都会发现在 30 个国家中的 18 个国家中,男女两性的超额损失都很大。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Years of Life Lost to COVID-19 and Related Mortality Indicators: An Illustration in 30 Countries

The concept of (potential) years of life lost is a measure of premature mortality that can be used to compare the impacts of different specific causes of death. However, interpreting a given number of years of life lost at face value is more problematic because of the lack of a sensible reference value. In this paper, we propose three denominators to divide an excess years of life lost, thus obtaining three indicators, called average life lost, increase of life lost, and proportion of life lost, which should facilitate interpretation and comparisons. We study the links between these three indicators and classical mortality indicators, such as life expectancy and standardized mortality rate, introduce the concept of weighted standardized mortality rate, and calculate them in 30 countries to assess the impact of COVID-19 on mortality in the year 2020. Using any of the three indicators, a significant excess loss is found for both genders in 18 of the 30 countries.

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来源期刊
Biometrical Journal
Biometrical Journal 生物-数学与计算生物学
CiteScore
3.20
自引率
5.90%
发文量
119
审稿时长
6-12 weeks
期刊介绍: Biometrical Journal publishes papers on statistical methods and their applications in life sciences including medicine, environmental sciences and agriculture. Methodological developments should be motivated by an interesting and relevant problem from these areas. Ideally the manuscript should include a description of the problem and a section detailing the application of the new methodology to the problem. Case studies, review articles and letters to the editors are also welcome. Papers containing only extensive mathematical theory are not suitable for publication in Biometrical Journal.
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