解释意大利第一波Covid-19期间死亡率的区域差异。

IF 2.5 2区 社会学 Q1 DEMOGRAPHY Population Studies-A Journal of Demography Pub Date : 2022-03-01 Epub Date: 2021-11-09 DOI:10.1080/00324728.2021.1984551
Ugofilippo Basellini, Carlo Giovanni Camarda
{"title":"解释意大利第一波Covid-19期间死亡率的区域差异。","authors":"Ugofilippo Basellini,&nbsp;Carlo Giovanni Camarda","doi":"10.1080/00324728.2021.1984551","DOIUrl":null,"url":null,"abstract":"<p><p>Italy was hit harshly by the Covid-19 pandemic, registering more than 35,000 Covid-19 deaths between February and July 2020. During this first wave of the epidemic, the virus spread unequally across the country, with northern regions witnessing more cases and deaths. We investigate demographic and socio-economic factors contributing to the diverse regional impact of the virus during the first wave. Using generalized additive mixed models, we find that Covid-19 mortality at regional level is negatively associated with the degree of intergenerational co-residence, number of intensive care unit beds per capita, and delay in the outbreak of the epidemic. Conversely, we do not find strong associations for several variables highlighted in recent literature, such as population density or the share of the population who are older or have at least one chronic disease. Our results underscore the importance of context-specific analysis for the study of a pandemic.</p>","PeriodicalId":47814,"journal":{"name":"Population Studies-A Journal of Demography","volume":null,"pages":null},"PeriodicalIF":2.5000,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"19","resultStr":"{\"title\":\"Explaining regional differences in mortality during the first wave of Covid-19 in Italy.\",\"authors\":\"Ugofilippo Basellini,&nbsp;Carlo Giovanni Camarda\",\"doi\":\"10.1080/00324728.2021.1984551\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Italy was hit harshly by the Covid-19 pandemic, registering more than 35,000 Covid-19 deaths between February and July 2020. During this first wave of the epidemic, the virus spread unequally across the country, with northern regions witnessing more cases and deaths. We investigate demographic and socio-economic factors contributing to the diverse regional impact of the virus during the first wave. Using generalized additive mixed models, we find that Covid-19 mortality at regional level is negatively associated with the degree of intergenerational co-residence, number of intensive care unit beds per capita, and delay in the outbreak of the epidemic. Conversely, we do not find strong associations for several variables highlighted in recent literature, such as population density or the share of the population who are older or have at least one chronic disease. Our results underscore the importance of context-specific analysis for the study of a pandemic.</p>\",\"PeriodicalId\":47814,\"journal\":{\"name\":\"Population Studies-A Journal of Demography\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2022-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"19\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Population Studies-A Journal of Demography\",\"FirstCategoryId\":\"90\",\"ListUrlMain\":\"https://doi.org/10.1080/00324728.2021.1984551\",\"RegionNum\":2,\"RegionCategory\":\"社会学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2021/11/9 0:00:00\",\"PubModel\":\"Epub\",\"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/10.1080/00324728.2021.1984551","RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2021/11/9 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"DEMOGRAPHY","Score":null,"Total":0}
引用次数: 19

摘要

意大利受到新冠肺炎大流行的严重打击,2020年2月至7月期间,新冠肺炎死亡人数超过3.5万人。在第一波疫情期间,病毒在全国的传播不均衡,北部地区出现更多病例和死亡。我们调查了在第一波疫情期间造成病毒不同区域影响的人口和社会经济因素。利用广义加性混合模型,我们发现区域层面的Covid-19死亡率与代际共住程度、人均重症监护病房床位数和疫情爆发延迟呈负相关。相反,我们没有发现最近文献中强调的几个变量有很强的相关性,例如人口密度或老年人或至少患有一种慢性病的人口比例。我们的结果强调了针对具体情况进行分析对于研究大流行的重要性。
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
Explaining regional differences in mortality during the first wave of Covid-19 in Italy.

Italy was hit harshly by the Covid-19 pandemic, registering more than 35,000 Covid-19 deaths between February and July 2020. During this first wave of the epidemic, the virus spread unequally across the country, with northern regions witnessing more cases and deaths. We investigate demographic and socio-economic factors contributing to the diverse regional impact of the virus during the first wave. Using generalized additive mixed models, we find that Covid-19 mortality at regional level is negatively associated with the degree of intergenerational co-residence, number of intensive care unit beds per capita, and delay in the outbreak of the epidemic. Conversely, we do not find strong associations for several variables highlighted in recent literature, such as population density or the share of the population who are older or have at least one chronic disease. Our results underscore the importance of context-specific analysis for the study of a pandemic.

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