Association between delayed outbreak identification and SARS-CoV-2 infection and mortality among long-term care home residents, Ontario, Canada, March to November 2020: a cohort study.

IF 9.9 2区 医学 Q1 INFECTIOUS DISEASES Eurosurveillance Pub Date : 2024-10-01 DOI:10.2807/1560-7917.ES.2024.29.41.2300719
Kevin A Brown, Sarah A Buchan, Adrienne K Chan, Andrew Costa, Nick Daneman, Gary Garber, Michael Hillmer, Aaron Jones, James M Johnson, Dylan Kain, Kamil Malikov, Richard G Mather, Allison McGeer, Kevin L Schwartz, Nathan M Stall, Jennie Johnstone
{"title":"Association between delayed outbreak identification and SARS-CoV-2 infection and mortality among long-term care home residents, Ontario, Canada, March to November 2020: a cohort study.","authors":"Kevin A Brown, Sarah A Buchan, Adrienne K Chan, Andrew Costa, Nick Daneman, Gary Garber, Michael Hillmer, Aaron Jones, James M Johnson, Dylan Kain, Kamil Malikov, Richard G Mather, Allison McGeer, Kevin L Schwartz, Nathan M Stall, Jennie Johnstone","doi":"10.2807/1560-7917.ES.2024.29.41.2300719","DOIUrl":null,"url":null,"abstract":"<p><p>BackgroundLate outbreak identification is a common risk factor mentioned in case reports of large respiratory infection outbreaks in long-term care (LTC) homes.AimTo systematically measure the association between late SARS-CoV-2 outbreak identification and secondary SARS-CoV-2 infection and mortality in residents of LTC homes.MethodsWe studied SARS-CoV-2 outbreaks across LTC homes in Ontario, Canada from March to November 2020, before the COVID-19 vaccine rollout. Our exposure (late outbreak identification) was based on cumulative infection pressure (the number of infectious resident-days) on the outbreak identification date (early: ≤ 2 infectious resident-days, late: ≥ 3 infectious resident-days), where the infectious window was -2 to +8 days around onset. Our outcome consisted of 30-day incidence of secondary infection and mortality, based on the proportion of at-risk residents with a laboratory-confirmed SARS-CoV-2 infection with onset within 30 days of the outbreak identification date.ResultsWe identified 632 SARS-CoV-2 outbreaks across 623 LTC homes. Of these, 36.4% (230/632) outbreaks were identified late. Outbreaks identified late had more secondary infections (10.3%; 4,437/42,953) and higher mortality (3.2%; 1,374/42,953) compared with outbreaks identified early (infections: 3.3%; 2,015/61,714; p < 0.001, mortality: 0.9%; 579/61,714; p < 0.001). After adjustment for 12 LTC home covariates, the incidence of secondary infections in outbreaks identified late was 2.90-fold larger than that of outbreaks identified early (OR: 2.90; 95% CI: 2.04-4.13).ConclusionsThe timeliness of outbreak identification could be used to predict the trajectory of an outbreak, plan outbreak measures and retrospectively provide feedback for quality improvement, with the objective of reducing the impacts of respiratory infections in LTC home residents.</p>","PeriodicalId":12161,"journal":{"name":"Eurosurveillance","volume":"29 41","pages":""},"PeriodicalIF":9.9000,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11484918/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Eurosurveillance","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2807/1560-7917.ES.2024.29.41.2300719","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"INFECTIOUS DISEASES","Score":null,"Total":0}
引用次数: 0

Abstract

BackgroundLate outbreak identification is a common risk factor mentioned in case reports of large respiratory infection outbreaks in long-term care (LTC) homes.AimTo systematically measure the association between late SARS-CoV-2 outbreak identification and secondary SARS-CoV-2 infection and mortality in residents of LTC homes.MethodsWe studied SARS-CoV-2 outbreaks across LTC homes in Ontario, Canada from March to November 2020, before the COVID-19 vaccine rollout. Our exposure (late outbreak identification) was based on cumulative infection pressure (the number of infectious resident-days) on the outbreak identification date (early: ≤ 2 infectious resident-days, late: ≥ 3 infectious resident-days), where the infectious window was -2 to +8 days around onset. Our outcome consisted of 30-day incidence of secondary infection and mortality, based on the proportion of at-risk residents with a laboratory-confirmed SARS-CoV-2 infection with onset within 30 days of the outbreak identification date.ResultsWe identified 632 SARS-CoV-2 outbreaks across 623 LTC homes. Of these, 36.4% (230/632) outbreaks were identified late. Outbreaks identified late had more secondary infections (10.3%; 4,437/42,953) and higher mortality (3.2%; 1,374/42,953) compared with outbreaks identified early (infections: 3.3%; 2,015/61,714; p < 0.001, mortality: 0.9%; 579/61,714; p < 0.001). After adjustment for 12 LTC home covariates, the incidence of secondary infections in outbreaks identified late was 2.90-fold larger than that of outbreaks identified early (OR: 2.90; 95% CI: 2.04-4.13).ConclusionsThe timeliness of outbreak identification could be used to predict the trajectory of an outbreak, plan outbreak measures and retrospectively provide feedback for quality improvement, with the objective of reducing the impacts of respiratory infections in LTC home residents.

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
2020 年 3 月至 11 月加拿大安大略省长期护理院居民中疫情识别延迟与 SARS-CoV-2 感染和死亡率之间的关系:一项队列研究。
Aim To systematically measure the association between late SARS-CoV-2 outbreak identification and secondary SARS-CoV-2 infection and mortality in residents of LTC homes.方法 我们研究了 2020 年 3 月至 11 月(COVID-19 疫苗推出之前)加拿大安大略省各家长期护理机构爆发的 SARS-CoV-2 疫情。我们的暴露(晚期疫情识别)基于疫情识别日(早期:≤ 2 个感染居民日,晚期:≥ 3 个感染居民日)的累积感染压力(感染居民日数),其中感染窗口期为发病前后 -2 至 +8 天。我们的研究结果包括 30 天内的继发感染率和死亡率,其依据是在疫情确定日期后 30 天内发病并经实验室确诊感染 SARS-CoV-2 的高危住院患者比例。其中,36.4%(230/632)的疫情发现较晚。与较早发现的疫情相比,较晚发现的疫情有更多的二次感染(10.3%;4437/42953)和更高的死亡率(3.2%;1374/42953)(感染:3.3%; 2,015/61,714; p
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Eurosurveillance
Eurosurveillance INFECTIOUS DISEASES-
CiteScore
32.70
自引率
2.10%
发文量
430
审稿时长
3-8 weeks
期刊介绍: Eurosurveillance is a European peer-reviewed journal focusing on the epidemiology, surveillance, prevention, and control of communicable diseases relevant to Europe.It is a weekly online journal, with 50 issues per year published on Thursdays. The journal includes short rapid communications, in-depth research articles, surveillance reports, reviews, and perspective papers. It excels in timely publication of authoritative papers on ongoing outbreaks or other public health events. Under special circumstances when current events need to be urgently communicated to readers for rapid public health action, e-alerts can be released outside of the regular publishing schedule. Additionally, topical compilations and special issues may be provided in PDF format.
期刊最新文献
Should all hospitalised patients colonised with Candida auris be considered for isolation? Viral hepatitis knowledge and vaccination awareness among men who have sex with men (MSM) in 43 countries of the WHO European Region: results from the European MSM Internet Survey, EMIS-2017. Post-disappearance scenarios: policy implications following the potential disappearance of B/Yamagata lineage influenza viruses. Candida auris fungaemia outbreak in a tertiary care academic hospital and emergence of a pan-echinocandin resistant isolate, Greece, 2021 to 2023. Detection of circulating type 3 vaccine-derived polioviruses in French Guiana, May to August 2024.
×
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