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
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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":"{\"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}","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
摘要
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
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.
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.
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.