Excess Deaths in Korea During the COVID-19 Pandemic: 2020-2022.

IF 2.8 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
So-Jin Im, Ji-Yeon Shin, Duk-Hee Lee
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引用次数: 0

Abstract

Objectives: Excess deaths, an indicator that compares total mortality rates before and during a pandemic, offer a comprehensive view of the pandemic's impact. However, discrepancies may arise from variations in estimating expected deaths. This study aims to compare excess deaths in Korea during the coronavirus disease 2019 pandemic using 3 methods and to analyze patterns using the most appropriate method.

Methods: Expected deaths from 2020 to 2022 were estimated using mortality data from 2015-2019 as reference years. This estimation employed 3 approaches: (1) simple average, (2) age-adjusted average, and (3) age-adjusted linear regression. Excess deaths by age, gender, and cause of death were also presented.

Results: The number of excess deaths varied depending on the estimation method used, reaching its highest point with the simple average and its lowest with the age-adjusted average. Age-adjusted linear regression, which accounts for both the aging population and declining mortality rates, was considered most appropriate. Using this model, excess deaths were estimated at 0.3% for 2020, 4.0% for 2021, and 20.7% for 2022. Excess deaths surged among individuals in their 20s throughout the pandemic, largely attributed to a rise in self-harm and suicide. Additionally, the results indicated sharp increases in deaths associated with "endocrine, nutritional, and metabolic diseases" and "symptoms, signs, and abnormal clinical and laboratory findings, not elsewhere classified."

Conclusions: Substantial variations in excess deaths were evident based on estimation method, with a notable increase in 2022. The heightened excess deaths among young adults and specific causes underscore key considerations for future pandemic responses.

COVID-19 大流行期间韩国的超额死亡人数:2020-2022 年。
目标:超额死亡人数是一项比较大流行病发生前和发生期间总死亡率的指标,可全面反映大流行病的影响。然而,由于对预期死亡人数的估计不同,可能会产生差异。本研究旨在使用 3 种方法比较 2019 年冠状病毒病大流行期间韩国的超额死亡人数,并使用最合适的方法分析其模式:以 2015-2019 年的死亡率数据为参考年,估算了 2020 年至 2022 年的预计死亡人数。估算采用了 3 种方法:(1) 简单平均法;(2) 年龄调整平均法;(3) 年龄调整线性回归法。此外,还按年龄、性别和死因列出了超额死亡人数:超额死亡人数因所使用的估算方法而异,简单平均法的超额死亡人数最高,年龄调整平均法的超额死亡人数最低。考虑到人口老龄化和死亡率下降因素的年龄调整线性回归被认为是最合适的方法。使用该模型,估计 2020 年超额死亡率为 0.3%,2021 年为 4.0%,2022 年为 20.7%。在整个大流行期间,20 多岁人群的超额死亡人数激增,这主要归因于自残和自杀人数的增加。此外,研究结果表明,与 "内分泌、营养和代谢疾病 "以及 "症状、体征、异常临床和实验室结果,未在别处分类 "相关的死亡人数急剧增加:根据估算方法的不同,超额死亡人数也有很大差异,2022 年的超额死亡人数明显增加。青壮年和特定原因导致的超额死亡人数增加强调了未来大流行病应对措施的主要考虑因素。
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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来源期刊
Journal of Preventive Medicine and Public Health
Journal of Preventive Medicine and Public Health Medicine-Public Health, Environmental and Occupational Health
CiteScore
6.40
自引率
0.00%
发文量
60
审稿时长
8 weeks
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