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TestEd: Developing and evaluating an affordable whole-system approach for early detection of viral infections in workplaces and communities

TestEd: Developing and evaluating an affordable whole-system approach for early detection of viral infections in workplaces and communities
TestEd:开发和评估一种经济实惠的全系统方法,用于早期检测工作场所和社区的病毒感染
批准号:
MR/W006243/1
负责人:
Timothy Aitman
金额:
$231.64万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2021
资助国家:
英国
项目状态:
已结题
起止时间:
2021 至 --

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中文摘要
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英文摘要
The TestEd programme at the University of Edinburgh will develop and evaluate an affordable whole system approach for early detection of COVID-19 that will provide a blueprint for large-scale regular testing to protect workplaces and communities from COVID-19 and, potentially, future pandemics. Specifically we will:- Implement our system that has now been established in two Institutes of the University of Edinburgh for streamlined, effective and accessible participant and sample registration, COVID-19 based on novel sample pooling strategies, automated, timely feedback of results, across the entire University of Edinburgh population, for twice weekly testing and rapid isolation of asymptomatic carriers- Conduct online surveys of all participants, and qualitative interviews on those who test positive for the virus, to understand attitudes and behaviour in the face of the pandemic, and the views of staff and students regarding regular testing and the potential need for self-isolation- Carry out health economic modelling of the pipeline, including our strategy to test for the virus in pooled samples that our preliminary analyses (see Additional Information Form) have shown have the potential for tests costing 40p per sample, at least ten-fold lower than other testing strategies- Evaluate efficacy and efficiency of the two pooling strategies - PCR-based hypercube pooling and sequence-based SwabSeq - by side-by-side comparison of their performance against individual PCR tests on a minimum of 10,000 samples and then, by using the pooling strategy with better performance, to test half a million samples collected from University staff and students within the 12 month period of the award- Engage with our collaborators within and outside the University to optimise the logistics of our laboratory processes, thereby minimising the time of each laboratory step and hands-on lab staff time, maximising use of robotic automation, thereby minimising overall turnaround time. Our current turnaround time is 100% return of results within 24 hours of the end of the 8-hour sample collection period. We shall monitor this through the course of the study period, providing reports to our participant community and to the MRC, aiming to remain as close as possible to 100% return of results within 24 hours throughout scale up and to full testing capacity- Engage with our participant community, the University leadership team, our collaborators within the NHS, our collaborators providing equipment and reagents and Edinburgh Innovations (our technology transfer organisation) to develop opportunities for future funding and deployment of our pipeline and knowhow within and outside the University at the conclusion of the funding period. This includes the opportunity to work with Government and non-governmental organisations to influence policy and to deploy our system, knowledge and experience to other workplaces and communities- Engage with policymakers and healthcare providers to ensure that our results and experience with large-scale testing can be fed into national and possibly international policy and practice for pandemic responses.
期刊论文(2)
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会议论文
DOI: 10.3390/diagnostics11091685
发表时间: 2021-09-15
期刊: Diagnostics (Basel, Switzerland)
影响因子: --
作者: [Bevan I, Stage Baxter M, Stagg HR, Street A]
通讯作者: Street A
DOI: 10.1136/bmjopen-2022-065021
发表时间: 2023-03-20
期刊: BMJ open
影响因子: 2.9
作者: []
通讯作者:
The Scottish Genomes Partnership
  • 批准号:
    MC_PC_15080
  • 项目类别:
    Intramural
  • 资助金额:
    $254.84万
  • 财政年份:
    2016
  • 负责人:
    Timothy Aitman
  • 依托单位:
Edinburgh-St Andrews Consortium for Molecular Pathology, Informatics and Genome Sciences
  • 批准号:
    MR/N005902/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $253.6万
  • 财政年份:
    2015
  • 负责人:
    Timothy Aitman
  • 依托单位:
海外基金