估算 2020-2022 年 COVID-19 大流行期间韩国的超额死亡率。

IF 3 3区 医学 Q1 MEDICINE, GENERAL & INTERNAL
Minjeong Jang, Soyoung Kim, Sunhwa Choi, Boyeong Ryu, So Young Choi, Siwon Choi, Misuk An, Seong-Sun Kim
{"title":"估算 2020-2022 年 COVID-19 大流行期间韩国的超额死亡率。","authors":"Minjeong Jang, Soyoung Kim, Sunhwa Choi, Boyeong Ryu, So Young Choi, Siwon Choi, Misuk An, Seong-Sun Kim","doi":"10.3346/jkms.2024.39.e267","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The persistent coronavirus disease 2019 (COVID-19) pandemic has had direct and indirect effects on mortality, making it essential to analyze excess mortality to fully understand the impact of the pandemic. In this study, we constructed a mathematical model using number of deaths from Statistics Korea and analyzed excess mortality between 2020 and 2022 according to age, sex, and dominant severe acute respiratory syndrome coronavirus 2 variant period.</p><p><strong>Methods: </strong>Number of all-cause deaths between 2010 and 2022 were obtained from the annual cause-of-death statistics provided by Statistics Korea. COVID-19 mortality data were acquired from the Korea Disease Control and Prevention Agency. A multivariate linear regression model with seasonal effect, stratified by sex and age, was used to estimate the number of deaths in the absence of COVID-19. The estimated excess mortality rate was calculated.</p><p><strong>Results: </strong>Excess mortality was not significant between January 2020 and October 2021. However, it started to increase monthly from November 2021 and reached its highest point during the omicron-dominant period. Specifically, in March and April 2022, during the omicron BA.1/BA.2-dominant period, the estimated median values for excess mortality were the highest at 17,634 and 11,379, respectively. Both COVID-19-related deaths and excess mortality increased with age. A notable increase in excess mortality was observed in individuals aged ≥ 65 years. In the context of excess mortality per 100,000 population based on the estimated median values in March 2022, the highest numbers were found among males and females aged ≥ 85 years at 1,048 and 910, respectively.</p><p><strong>Conclusion: </strong>This study revealed that the prolonged COVID-19 pandemic coupled with its high transmissibility not only increased COVID-19-related deaths but also had a significant impact on overall mortality rates, especially in the elderly. Therefore, it is crucial to concentrate healthcare resources and services on the elderly and ensure continued access to healthcare services during pandemics. Establishing an excess mortality monitoring system in the early stages of a pandemic is necessary to understand the impact of infectious diseases on mortality and effectively evaluate pandemic response policies.</p>","PeriodicalId":16249,"journal":{"name":"Journal of Korean Medical Science","volume":"39 40","pages":"e267"},"PeriodicalIF":3.0000,"publicationDate":"2024-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11496562/pdf/","citationCount":"0","resultStr":"{\"title\":\"Estimating Excess Mortality During the COVID-19 Pandemic Between 2020-2022 in Korea.\",\"authors\":\"Minjeong Jang, Soyoung Kim, Sunhwa Choi, Boyeong Ryu, So Young Choi, Siwon Choi, Misuk An, Seong-Sun Kim\",\"doi\":\"10.3346/jkms.2024.39.e267\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>The persistent coronavirus disease 2019 (COVID-19) pandemic has had direct and indirect effects on mortality, making it essential to analyze excess mortality to fully understand the impact of the pandemic. In this study, we constructed a mathematical model using number of deaths from Statistics Korea and analyzed excess mortality between 2020 and 2022 according to age, sex, and dominant severe acute respiratory syndrome coronavirus 2 variant period.</p><p><strong>Methods: </strong>Number of all-cause deaths between 2010 and 2022 were obtained from the annual cause-of-death statistics provided by Statistics Korea. COVID-19 mortality data were acquired from the Korea Disease Control and Prevention Agency. A multivariate linear regression model with seasonal effect, stratified by sex and age, was used to estimate the number of deaths in the absence of COVID-19. The estimated excess mortality rate was calculated.</p><p><strong>Results: </strong>Excess mortality was not significant between January 2020 and October 2021. However, it started to increase monthly from November 2021 and reached its highest point during the omicron-dominant period. Specifically, in March and April 2022, during the omicron BA.1/BA.2-dominant period, the estimated median values for excess mortality were the highest at 17,634 and 11,379, respectively. Both COVID-19-related deaths and excess mortality increased with age. A notable increase in excess mortality was observed in individuals aged ≥ 65 years. In the context of excess mortality per 100,000 population based on the estimated median values in March 2022, the highest numbers were found among males and females aged ≥ 85 years at 1,048 and 910, respectively.</p><p><strong>Conclusion: </strong>This study revealed that the prolonged COVID-19 pandemic coupled with its high transmissibility not only increased COVID-19-related deaths but also had a significant impact on overall mortality rates, especially in the elderly. Therefore, it is crucial to concentrate healthcare resources and services on the elderly and ensure continued access to healthcare services during pandemics. Establishing an excess mortality monitoring system in the early stages of a pandemic is necessary to understand the impact of infectious diseases on mortality and effectively evaluate pandemic response policies.</p>\",\"PeriodicalId\":16249,\"journal\":{\"name\":\"Journal of Korean Medical Science\",\"volume\":\"39 40\",\"pages\":\"e267\"},\"PeriodicalIF\":3.0000,\"publicationDate\":\"2024-10-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11496562/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Korean Medical Science\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.3346/jkms.2024.39.e267\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MEDICINE, GENERAL & INTERNAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Korean Medical Science","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3346/jkms.2024.39.e267","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MEDICINE, GENERAL & INTERNAL","Score":null,"Total":0}
引用次数: 0

摘要

背景:2019年冠状病毒病(COVID-19)大流行对死亡率产生了直接和间接的影响,因此分析超额死亡率对充分了解大流行的影响至关重要。在这项研究中,我们利用韩国统计局提供的死亡人数构建了一个数学模型,并根据年龄、性别和冠状病毒2型严重急性呼吸综合征显性变异期分析了2020年至2022年期间的超额死亡率:方法:从韩国统计局提供的年度死因统计数据中获取 2010 年至 2022 年间全因死亡人数。COVID-19 死亡率数据来自韩国疾病预防控制机构。我们使用一个具有季节效应的多变量线性回归模型,按性别和年龄进行分层,以估算在没有 COVID-19 的情况下的死亡人数。计算出了估计的超额死亡率:结果:2020 年 1 月至 2021 年 10 月期间,超额死亡率并不明显。然而,从 2021 年 11 月起,超额死亡率开始逐月上升,并在奥米克龙主导期达到最高点。具体来说,在 2022 年 3 月和 4 月,即在 BA.1/BA.2 占主导地位的卵圆期间,超额死亡率的估计中值最高,分别为 17 634 人和 11 379 人。与 COVID-19 相关的死亡人数和超额死亡率都随着年龄的增长而增加。在年龄≥ 65 岁的人群中,超额死亡率明显增加。根据 2022 年 3 月的估计中位值计算的每 10 万人超额死亡率中,年龄≥ 85 岁的男性和女性的超额死亡率最高,分别为 1 048 人和 910 人:这项研究表明,COVID-19 大流行持续时间长,传播性强,不仅增加了与 COVID-19 相关的死亡人数,而且对总死亡率,尤其是老年人的总死亡率产生了重大影响。因此,将医疗保健资源和服务集中在老年人身上并确保他们在大流行期间能够持续获得医疗保健服务至关重要。为了了解传染病对死亡率的影响并有效评估大流行应对政策,有必要在大流行初期建立超额死亡率监测系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimating Excess Mortality During the COVID-19 Pandemic Between 2020-2022 in Korea.

Background: The persistent coronavirus disease 2019 (COVID-19) pandemic has had direct and indirect effects on mortality, making it essential to analyze excess mortality to fully understand the impact of the pandemic. In this study, we constructed a mathematical model using number of deaths from Statistics Korea and analyzed excess mortality between 2020 and 2022 according to age, sex, and dominant severe acute respiratory syndrome coronavirus 2 variant period.

Methods: Number of all-cause deaths between 2010 and 2022 were obtained from the annual cause-of-death statistics provided by Statistics Korea. COVID-19 mortality data were acquired from the Korea Disease Control and Prevention Agency. A multivariate linear regression model with seasonal effect, stratified by sex and age, was used to estimate the number of deaths in the absence of COVID-19. The estimated excess mortality rate was calculated.

Results: Excess mortality was not significant between January 2020 and October 2021. However, it started to increase monthly from November 2021 and reached its highest point during the omicron-dominant period. Specifically, in March and April 2022, during the omicron BA.1/BA.2-dominant period, the estimated median values for excess mortality were the highest at 17,634 and 11,379, respectively. Both COVID-19-related deaths and excess mortality increased with age. A notable increase in excess mortality was observed in individuals aged ≥ 65 years. In the context of excess mortality per 100,000 population based on the estimated median values in March 2022, the highest numbers were found among males and females aged ≥ 85 years at 1,048 and 910, respectively.

Conclusion: This study revealed that the prolonged COVID-19 pandemic coupled with its high transmissibility not only increased COVID-19-related deaths but also had a significant impact on overall mortality rates, especially in the elderly. Therefore, it is crucial to concentrate healthcare resources and services on the elderly and ensure continued access to healthcare services during pandemics. Establishing an excess mortality monitoring system in the early stages of a pandemic is necessary to understand the impact of infectious diseases on mortality and effectively evaluate pandemic response policies.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Journal of Korean Medical Science
Journal of Korean Medical Science 医学-医学:内科
CiteScore
7.80
自引率
8.90%
发文量
320
审稿时长
3-6 weeks
期刊介绍: The Journal of Korean Medical Science (JKMS) is an international, peer-reviewed Open Access journal of medicine published weekly in English. The Journal’s publisher is the Korean Academy of Medical Sciences (KAMS), Korean Medical Association (KMA). JKMS aims to publish evidence-based, scientific research articles from various disciplines of the medical sciences. The Journal welcomes articles of general interest to medical researchers especially when they contain original information. Articles on the clinical evaluation of drugs and other therapies, epidemiologic studies of the general population, studies on pathogenic organisms and toxic materials, and the toxicities and adverse effects of therapeutics are welcome.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信