奥地利、德国和意大利Covid-19大流行第一年的人口危险因素、医疗保健利用和死亡率

IF 2.5 2区 社会学 Q1 DEMOGRAPHY Population Studies-A Journal of Demography Pub Date : 2023-07-01 DOI:10.1080/00324728.2023.2217789
Simona Bignami-Van Assche, Daniela Ghio, Nikolaos I Stilianakis
{"title":"奥地利、德国和意大利Covid-19大流行第一年的人口危险因素、医疗保健利用和死亡率","authors":"Simona Bignami-Van Assche,&nbsp;Daniela Ghio,&nbsp;Nikolaos I Stilianakis","doi":"10.1080/00324728.2023.2217789","DOIUrl":null,"url":null,"abstract":"<p><p>At the population level, there is limited empirical evidence on the characteristics of individuals who were hospitalized because of Covid-19, the role of hospitalization in mortality risk, and how both evolved over time. Through the analysis of surveillance data for 7 million people in Austria, Germany, and Italy, we investigate: (1) the demographic characteristics and outcomes of individuals hospitalized because of Covid-19; and (2) the role of demographic risk factors and healthcare utilization (as measured by hospitalization) for the individual probability of dying because of Covid-19, in both cases comparing the period February to June 2020 with July 2020 to February 2021. We find that the demographic profile of individuals who were hospitalized or died because of Covid-19 is the same in both periods, except for a younger age profile for hospitalizations in the second period. Mortality differentials across countries result from the interaction of demographic risk factors and hospitalization at the individual level.</p>","PeriodicalId":47814,"journal":{"name":"Population Studies-A Journal of Demography","volume":null,"pages":null},"PeriodicalIF":2.5000,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Demographic risk factors, healthcare utilization, and mortality during the first year of the Covid-19 pandemic in Austria, Germany, and Italy.\",\"authors\":\"Simona Bignami-Van Assche,&nbsp;Daniela Ghio,&nbsp;Nikolaos I Stilianakis\",\"doi\":\"10.1080/00324728.2023.2217789\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>At the population level, there is limited empirical evidence on the characteristics of individuals who were hospitalized because of Covid-19, the role of hospitalization in mortality risk, and how both evolved over time. Through the analysis of surveillance data for 7 million people in Austria, Germany, and Italy, we investigate: (1) the demographic characteristics and outcomes of individuals hospitalized because of Covid-19; and (2) the role of demographic risk factors and healthcare utilization (as measured by hospitalization) for the individual probability of dying because of Covid-19, in both cases comparing the period February to June 2020 with July 2020 to February 2021. We find that the demographic profile of individuals who were hospitalized or died because of Covid-19 is the same in both periods, except for a younger age profile for hospitalizations in the second period. Mortality differentials across countries result from the interaction of demographic risk factors and hospitalization at the individual level.</p>\",\"PeriodicalId\":47814,\"journal\":{\"name\":\"Population Studies-A Journal of Demography\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2023-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Population Studies-A Journal of Demography\",\"FirstCategoryId\":\"90\",\"ListUrlMain\":\"https://doi.org/10.1080/00324728.2023.2217789\",\"RegionNum\":2,\"RegionCategory\":\"社会学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"DEMOGRAPHY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Population Studies-A Journal of Demography","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.1080/00324728.2023.2217789","RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"DEMOGRAPHY","Score":null,"Total":0}
引用次数: 0

摘要

在人口水平上,关于因Covid-19住院的个人特征、住院在死亡风险中的作用以及两者如何随时间演变的经验证据有限。通过对奥地利、德国和意大利700万人的监测数据分析,我们调查了:(1)因Covid-19住院的个人的人口统计学特征和结果;(2)人口风险因素和医疗保健利用(以住院率衡量)对因Covid-19死亡的个人概率的作用,并将2020年2月至6月与2020年7月至2021年2月进行比较。我们发现,在这两个时期,因Covid-19住院或死亡的个人的人口统计特征是相同的,除了第二个时期住院的年龄特征更年轻。各国之间的死亡率差异是人口危险因素和个人住院治疗相互作用的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Demographic risk factors, healthcare utilization, and mortality during the first year of the Covid-19 pandemic in Austria, Germany, and Italy.

At the population level, there is limited empirical evidence on the characteristics of individuals who were hospitalized because of Covid-19, the role of hospitalization in mortality risk, and how both evolved over time. Through the analysis of surveillance data for 7 million people in Austria, Germany, and Italy, we investigate: (1) the demographic characteristics and outcomes of individuals hospitalized because of Covid-19; and (2) the role of demographic risk factors and healthcare utilization (as measured by hospitalization) for the individual probability of dying because of Covid-19, in both cases comparing the period February to June 2020 with July 2020 to February 2021. We find that the demographic profile of individuals who were hospitalized or died because of Covid-19 is the same in both periods, except for a younger age profile for hospitalizations in the second period. Mortality differentials across countries result from the interaction of demographic risk factors and hospitalization at the individual level.

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
CiteScore
5.00
自引率
4.20%
发文量
30
期刊介绍: For over half a century, Population Studies has reported significant advances in methods of demographic analysis, conceptual and mathematical theories of demographic dynamics and behaviour, and the use of these theories and methods to extend scientific knowledge and to inform policy and practice. The Journal"s coverage of this field is comprehensive: applications in developed and developing countries; historical and contemporary studies; quantitative and qualitative studies; analytical essays and reviews. The subjects of papers range from classical concerns, such as the determinants and consequences of population change, to such topics as family demography and evolutionary and genetic influences on demographic behaviour.
期刊最新文献
Estimating age-specific mortality using calibrated splines. Infant and child mortality in the Netherlands 1935-47 and changes related to the Dutch famine of 1944-45: A population-based analysis. Flexible transition timing in discrete-time multistate life tables using Markov chains with rewards. Kinship and socio-economic status: Social gradients in frequencies of kin across the life course in Sweden. Home-based work and childbearing.
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1