The impact of testing and infection prevention and control strategies on within-hospital transmission dynamics of COVID-19 in English hospitals.

The impact of testing and infection prevention and control strategies on within-hospital transmission dynamics of COVID-19 in English hospitals.
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DOI:
10.1098/rstb.2020.0268
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发表时间:
2021-07-19
期刊:
Philosophical transactions of the Royal Society of London. Series B, Biological sciences
影响因子:
--
通讯作者:
Robotham J
Robotham J
中科院分区:
其他
文献类型:
--
作者:
Evans S;Agnew E;Vynnycky E;Stimson J;Bhattacharya A;Rooney C;Warne B;Robotham J

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SARS-CoV-2的医院传播是一个关键问题,评估检测和感染预防和控制策略的效果对于指导该领域的政策至关重要。在一家典型的英国医院中使用SARS-CoV-2的院内SEIR转换模型,我们估计在2020年3月9日至2020年7月17日期间,约20%的住院患者感染和73%的医护人员感染是由于医院传播。模型结果表明,将疑似COVID-19患者安置在单人病房或隔间有可能将患者的医院获得性感染减少高达35%。对医务人员进行定期检测对患者的医院获得性COVID-19病例数量的影响较小,但可将医务人员的感染减少多达37%,并仅导致一小部分工作人员缺勤(约10%)。每天0.3%)。这远低于20-25%的员工因疑似COVID-19和自我隔离而缺勤的报告。根据迄今收集的数据,对干预措施进行基于模型的评估,有助于随着大流行的发展制定政策,并有助于防止在脆弱的医院人群中传播。本文是主题问题“塑造英国早期COVID-19大流行应对的模型”的一部分。
Nosocomial transmission of SARS-CoV-2 is a key concern, and evaluating the effect of testing and infection prevention and control strategies is essential for guiding policy in this area. Using a within-hospital SEIR transition model of SARS-CoV-2 in a typical English hospital, we estimate that between 9 March 2020 and 17 July 2020 approximately 20% of infections in inpatients, and 73% of infections in healthcare workers (HCWs) were due to nosocomial transmission. Model results suggest that placing suspected COVID-19 patients in single rooms or bays has the potential to reduce hospital-acquired infections in patients by up to 35%. Periodic testing of HCWs has a smaller effect on the number of hospital-acquired COVID-19 cases in patients, but reduces infection in HCWs by as much as 37% and results in only a small proportion of staff absences (approx. 0.3% per day). This is considerably less than the 20–25% of staff that have been reported to be absent from work owing to suspected COVID-19 and self-isolation. Model-based evaluations of interventions, informed by data collected so far, can help to inform policy as the pandemic progresses and help prevent transmission in the vulnerable hospital population. This article is part of the theme issue ‘Modelling that shaped the early COVID-19 pandemic response in the UK’.
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