年龄人口统计学对COVID-19全人群感染病死率的解释和应用的影响

M. MacLeod, D. Hunter
{"title":"年龄人口统计学对COVID-19全人群感染病死率的解释和应用的影响","authors":"M. MacLeod, D. Hunter","doi":"10.1287/INTE.2020.1070","DOIUrl":null,"url":null,"abstract":"The ongoing coronavirus disease 2019 (COVID-19) pandemic affects the Canadian Armed Forces (CAF) and its members in multiple ways. As the CAF manages its own healthcare system for its members, it must consider the impact of COVID-19 not only on the operational effectiveness of its workforce but also on its healthcare operations. Furthermore, given that the CAF has deployed task forces in support of other government departments, including into long-term care facilities that are experiencing outbreaks, it is important for the CAF to maintain situational awareness of the outbreak in the Canadian population generally. In providing analytical support to the CAF on these questions, we focused on establishing the applicability of estimates of COVID-19 infection fatality rates (IFRs) from the literature to the CAF and to the Canadian public. This paper explores how the age-dependent effects of COVID-19 must be taken into account when comparing estimates based on countries with very different age profiles, such as China and Italy. Furthermore, it explores how varying age structures within a country (e.g., within a subnational jurisdiction, or within a given working population) should affect how analysts apply estimates of IFR to scenarios involving those specific populations.","PeriodicalId":430990,"journal":{"name":"INFORMS J. Appl. Anal.","volume":"47 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"The Impact of Age Demographics on Interpreting and Applying Population-Wide Infection Fatality Rates for COVID-19\",\"authors\":\"M. MacLeod, D. Hunter\",\"doi\":\"10.1287/INTE.2020.1070\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The ongoing coronavirus disease 2019 (COVID-19) pandemic affects the Canadian Armed Forces (CAF) and its members in multiple ways. As the CAF manages its own healthcare system for its members, it must consider the impact of COVID-19 not only on the operational effectiveness of its workforce but also on its healthcare operations. Furthermore, given that the CAF has deployed task forces in support of other government departments, including into long-term care facilities that are experiencing outbreaks, it is important for the CAF to maintain situational awareness of the outbreak in the Canadian population generally. In providing analytical support to the CAF on these questions, we focused on establishing the applicability of estimates of COVID-19 infection fatality rates (IFRs) from the literature to the CAF and to the Canadian public. This paper explores how the age-dependent effects of COVID-19 must be taken into account when comparing estimates based on countries with very different age profiles, such as China and Italy. Furthermore, it explores how varying age structures within a country (e.g., within a subnational jurisdiction, or within a given working population) should affect how analysts apply estimates of IFR to scenarios involving those specific populations.\",\"PeriodicalId\":430990,\"journal\":{\"name\":\"INFORMS J. Appl. Anal.\",\"volume\":\"47 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-04-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"INFORMS J. Appl. Anal.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1287/INTE.2020.1070\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"INFORMS J. Appl. Anal.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1287/INTE.2020.1070","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

摘要

持续的2019冠状病毒病(COVID-19)大流行以多种方式影响着加拿大武装部队(CAF)及其成员。由于CAF为其成员管理自己的医疗保健系统,它必须考虑COVID-19不仅对其员工的运营效率,而且对其医疗保健业务的影响。此外,鉴于CAF已部署工作队支持其他政府部门,包括进入正在发生疫情的长期护理设施,CAF必须在加拿大人口中普遍保持对疫情的态势认知。在向CAF提供这些问题的分析支持时,我们侧重于确定文献中COVID-19感染致死率(IFRs)估计值对CAF和加拿大公众的适用性。本文探讨了在比较基于年龄分布差异很大的国家(如中国和意大利)的估计数时,如何必须考虑到COVID-19的年龄依赖性影响。此外,它还探讨了一个国家(例如,在次国家管辖范围内,或在给定的工作人口中)不同的年龄结构应如何影响分析人员如何将IFR估计应用于涉及这些特定人口的情景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Impact of Age Demographics on Interpreting and Applying Population-Wide Infection Fatality Rates for COVID-19
The ongoing coronavirus disease 2019 (COVID-19) pandemic affects the Canadian Armed Forces (CAF) and its members in multiple ways. As the CAF manages its own healthcare system for its members, it must consider the impact of COVID-19 not only on the operational effectiveness of its workforce but also on its healthcare operations. Furthermore, given that the CAF has deployed task forces in support of other government departments, including into long-term care facilities that are experiencing outbreaks, it is important for the CAF to maintain situational awareness of the outbreak in the Canadian population generally. In providing analytical support to the CAF on these questions, we focused on establishing the applicability of estimates of COVID-19 infection fatality rates (IFRs) from the literature to the CAF and to the Canadian public. This paper explores how the age-dependent effects of COVID-19 must be taken into account when comparing estimates based on countries with very different age profiles, such as China and Italy. Furthermore, it explores how varying age structures within a country (e.g., within a subnational jurisdiction, or within a given working population) should affect how analysts apply estimates of IFR to scenarios involving those specific populations.
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
自引率
0.00%
发文量
0
×
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