Risk factors for SARS-CoV-2 transmission in student residences: a case-ascertained study.

Marte Vanbesien, Geert Molenberghs, Caspar Geenen, Jonathan Thibaut, Sarah Gorissen, Emmanuel André, Joren Raymenants
{"title":"Risk factors for SARS-CoV-2 transmission in student residences: a case-ascertained study.","authors":"Marte Vanbesien,&nbsp;Geert Molenberghs,&nbsp;Caspar Geenen,&nbsp;Jonathan Thibaut,&nbsp;Sarah Gorissen,&nbsp;Emmanuel André,&nbsp;Joren Raymenants","doi":"10.1186/s13690-022-00966-4","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>We aimed to investigate the overall secondary attack rates (SAR) of COVID-19 in student residences and to identify risk factors for higher transmission.</p><p><strong>Methods: </strong>We retrospectively analysed the SAR in living units of student residences which were screened in Leuven (Belgium) following the detection of a COVID-19 case. Students were followed up in the framework of a routine testing and tracing follow-up system. We considered residence outbreaks followed up between October 30th 2020 and May 25th 2021. We used generalized estimating equations (GEE) to evaluate the impact of delay to follow-up, shared kitchen or sanitary facilities, the presence of a known external infection source and the recent occurrence of a social gathering. We used a generalized linear mixed model (GLMM) for validation.</p><p><strong>Results: </strong>We included 165 student residences, representing 200 residence units (N screened residents = 2324). Secondary transmission occurred in 68 units which corresponded to 176 secondary cases. The overall observed SAR was 8.2%. In the GEE model, shared sanitary facilities (p = 0.04) and the recent occurrence of a social gathering (p = 0.003) were associated with a significant increase in SAR in a living unit, which was estimated at 3% (95%CI 1.5-5.2) in the absence of any risk factor and 13% (95%CI 11.4-15.8) in the presence of both. The GLMM confirmed these findings.</p><p><strong>Conclusions: </strong>Shared sanitary facilities and the occurrence of social gatherings increase the risk of COVID-19 transmission and should be considered when screening and implementing preventive measures.</p>","PeriodicalId":365748,"journal":{"name":"Archives of public health = Archives belges de sante publique","volume":" ","pages":"212"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9491668/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Archives of public health = Archives belges de sante publique","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s13690-022-00966-4","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Background: We aimed to investigate the overall secondary attack rates (SAR) of COVID-19 in student residences and to identify risk factors for higher transmission.

Methods: We retrospectively analysed the SAR in living units of student residences which were screened in Leuven (Belgium) following the detection of a COVID-19 case. Students were followed up in the framework of a routine testing and tracing follow-up system. We considered residence outbreaks followed up between October 30th 2020 and May 25th 2021. We used generalized estimating equations (GEE) to evaluate the impact of delay to follow-up, shared kitchen or sanitary facilities, the presence of a known external infection source and the recent occurrence of a social gathering. We used a generalized linear mixed model (GLMM) for validation.

Results: We included 165 student residences, representing 200 residence units (N screened residents = 2324). Secondary transmission occurred in 68 units which corresponded to 176 secondary cases. The overall observed SAR was 8.2%. In the GEE model, shared sanitary facilities (p = 0.04) and the recent occurrence of a social gathering (p = 0.003) were associated with a significant increase in SAR in a living unit, which was estimated at 3% (95%CI 1.5-5.2) in the absence of any risk factor and 13% (95%CI 11.4-15.8) in the presence of both. The GLMM confirmed these findings.

Conclusions: Shared sanitary facilities and the occurrence of social gatherings increase the risk of COVID-19 transmission and should be considered when screening and implementing preventive measures.

Abstract Image

Abstract Image

Abstract Image

学生宿舍中SARS-CoV-2传播的危险因素:一项病例确定研究
背景:我们的目的是调查学生宿舍中COVID-19的总体继发发病率(SAR),并确定传播的危险因素。方法:回顾性分析在比利时鲁汶市发现1例COVID-19病例后筛选的学生公寓居住单元的SAR。学生在常规测试和跟踪跟踪系统框架下进行随访。我们考虑了2020年10月30日至2021年5月25日期间的住宅疫情。我们使用广义估计方程(GEE)来评估延迟随访、共用厨房或卫生设施、存在已知的外部感染源以及最近发生的社交聚会的影响。我们使用广义线性混合模型(GLMM)进行验证。结果:我们纳入了165个学生公寓,代表200个居住单元(N筛选的居民= 2324)。68个单位发生继发传播,对应176例继发病例。总体观察到的SAR为8.2%。在GEE模型中,共用卫生设施(p = 0.04)和最近发生的社交聚会(p = 0.003)与居住单元SAR的显着增加有关,在没有任何风险因素的情况下,估计为3% (95%CI 1.5-5.2),在两者都存在的情况下,估计为13% (95%CI 11.4-15.8)。GLMM证实了这些发现。结论:共用卫生设施和社交聚会的发生增加了COVID-19传播的风险,应在筛查和实施预防措施时予以考虑。
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 求助全文
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:604180095
Book学术官方微信