Suppr超能文献

加拿大安大略省长期护理院 COVID-19 社区爆发和设施类型的标志物:时间序列分析的见解和影响。

Markers of community outbreak and facility type for mitigation of COVID-19 in long-term care homes in Ontario, Canada: Insights and implications from a time-series analysis.

机构信息

Mathematical Modelling of COVID-19 Task Force, Fields Laboratory of Mathematics for Public Health, University of Toronto, Ontario, Canada; Department of Mathematics and Statistics, York University, Toronto, Ontario, Canada.

Mathematical Modelling of COVID-19 Task Force, Fields Laboratory of Mathematics for Public Health, University of Toronto, Ontario, Canada; The Fluid Dynamics of Disease Transmission Laboratory, Massachusetts In stitute of Technology, Cambridge, MA, USA.

出版信息

Ann Epidemiol. 2024 Feb;90:9-20. doi: 10.1016/j.annepidem.2023.08.005. Epub 2023 Sep 9.

Abstract

PURPOSE

The resident deaths among Long Term Care Home (LTCH) accounted for more than 65% of total deaths in the province of Ontario, Canada, during March 29 to June 3, 2020, yet not all LTCHs were severely affected.

METHODS

We carried out a retrospective cohort study, with case control for questions for which data allowed, with LTCH COVID-19 databases obtained from Ontario's Ministry of Long Term Care. We performed a combined temporal and spatial data analysis of COVID-19 cases and deaths among LTCH residents, identified trends, contributing factors, and early markers of LTCH outbreak severity.

RESULTS

Our analysis shows that for-profit LTCHs had higher death-to-bed ratio, also with an average rate of increase of death-to-bed ratio higher for for-profit homes than other types of management. We find from uni- and multi-variable analyses (linear and nonlinear) that staff infection has the strongest association with death-to-bed ratio from among the descriptor variables considered, reflecting the risk of the disease in the health region/community. We also identify a delay of up to 8 days between the trends in fatalities among individuals outside LTCHs and that of LTCH residents. We did find an association between policy change to single LTCH/staff and reduction in weekly LTCH resident death, albeit with an expected time delay of about 7-10 days.

CONCLUSIONS

The association between the risk of COVID-19 in the health region and the deaths among LTCH residents, and the delay between fatality among individuals residing outside and inside LTCHs suggests that fatality in a health region could be a predictor of outbreak in LTCHs within the same health region.

摘要

目的

在 2020 年 3 月 29 日至 6 月 3 日期间,加拿大安大略省的长期护理院(LTCH)居民死亡人数占全省总死亡人数的 65%以上,但并非所有 LTCH 都受到严重影响。

方法

我们开展了一项回顾性队列研究,对于有数据支持的问题进行病例对照研究,使用安大略省长期护理部获得的 LTCH COVID-19 数据库。我们对 LTCH 居民的 COVID-19 病例和死亡进行了时空数据分析,确定了趋势、影响因素和 LTCH 疫情严重程度的早期指标。

结果

我们的分析表明,营利性 LTCH 的病死率与床位数之比更高,而且营利性 LTCH 的病死率平均增长率也高于其他类型的管理。我们通过单变量和多变量分析(线性和非线性)发现,员工感染与病死率之间的关联最强,这反映了该疾病在卫生区域/社区中的风险。我们还发现,LTCH 居民和 LTCH 外个体的死亡率趋势之间存在长达 8 天的延迟。我们确实发现,LTCH 政策变化为单一 LTCH/员工与每周 LTCH 居民死亡人数减少之间存在关联,但预计会有 7-10 天的时间延迟。

结论

在卫生区域 COVID-19 风险与 LTCH 居民死亡之间的关联,以及 LTCH 外和 LTCH 内个体死亡率之间的延迟表明,卫生区域的死亡率可能是同一卫生区域内 LTCH 爆发的预测指标。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验