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Rapid Assistance in Modelling the Pandemic (RAMP - Edinburgh central admin)

流行病建模快速协助（RAMP - 爱丁堡中央管理）

基本信息

批准号：
ST/V00221X/1
负责人：
Graeme Ackland
金额：
$ 28.09万
依托单位：
University of Edinburgh
依托单位国家：
英国
项目类别：
Research Grant
财政年份：
2020
资助国家：
英国
起止时间：
2020 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=ST%2FV00221X%2F1
关键词：
Rapid Assistance Modelling Pandemic RAMP

项目摘要

Since the pandemic began, many thousands of researchers have had their work interrupted, with no access to laboratory equipment or travel. They stand willing and to contribute to COVID modelling effort. RAMP addresses the need to coordinate and focus the efforts across the UK. Computer modelling is perhaps unique as an area where capacity is actually enhanced by the lockdown, although we will continue to coordinate projects with new or repurposed funding once restrictions are relaxed until the crisis is truly over.The unique situation of lockdown and unprecidented importance of COVID has meant that the generation of new knowledge has advanced apace without direct funding. Thousands of apparently COViD related preprints have appeared across medarXiV, arXiV and other preprint servers, and in the inboxes of all prominent scientists in the field. However this body of work is unfocussed, hugely repetitive and often lacks the specificity to deal with the details of the actual crisis we face. The central aim of this project is to provide focus to this effort, and facilitate the knowledge transfer to policy-making.In addition, we are and will continue to act as a channel for addressing policy questions to the community and escalating promising avenues of work to decision-makers, with co-membership of RAMP and the government's SPI-M and SAGE committees.RAMP provides a mechanism by which useful work which does not require direct funding can get underway immediately.

自大流行开始以来，数千名研究人员的工作中断，无法使用实验室设备或旅行。他们愿意为COVID建模工作做出贡献。RAMP解决了在联合王国协调和集中努力的需要。计算机建模可能是一个独特的领域，因为封锁实际上提高了能力，尽管我们将继续协调项目与新的或重新用途的资金，一旦限制放松，直到危机真正结束。封锁的独特情况和COVID的前所未有的重要性意味着新知识的产生在没有直接资金的情况下迅速发展。数以千计的显然与COViD相关的预印本出现在medarXiV、arXiV和其他预印本服务器上，以及该领域所有杰出科学家的收件箱中。然而，这些工作没有重点，重复性很强，而且往往缺乏处理我们面临的实际危机细节的具体性。该项目的中心目标是为这一努力提供重点，并促进知识转移到决策。此外，我们正在并将继续作为一个渠道，向社区解决政策问题，并向决策者提供有希望的工作途径，与RAMP和政府SPI的共同成员-RAMP提供了一种机制，通过这种机制，不需要直接资助的有用工作可以立即开始。

项目成果

期刊论文数量（9）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Reproducing the long term predictions from Imperial College CovidSim Report 9

重现帝国理工学院 CovidSim 报告 9 的长期预测

DOI：
10.1101/2020.06.18.20135004
发表时间：
2020
期刊：
影响因子：
0
作者：
Rice K
通讯作者：
Rice K

Technical challenges of modelling real-life epidemics and examples of overcoming these.

建模现实生活流行病的技术挑战和克服这些挑战的例子。

DOI：
10.1098/rsta.2022.0179
发表时间：
2022-10-03
期刊：
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
影响因子：
5
作者：
Panovska-Griffiths, J.;Waites, W.;Ackland, G. J.
通讯作者：
Ackland, G. J.

The Royal Society RAMP modelling initiative

英国皇家学会 RAMP 建模倡议

DOI：
10.17863/cam.87561
发表时间：
2022
期刊：
影响因子：
0
作者：
Ackland G
通讯作者：
Ackland G

Effect of school closures on mortality from coronavirus disease 2019: old and new predictions.

DOI：
10.1136/bmj.m3588
发表时间：
2020-10-07
期刊：
BMJ (Clinical research ed.)
影响因子：
0
作者：
Rice K;Wynne B;Martin V;Ackland GJ
通讯作者：
Ackland GJ

Fitting the reproduction number from UK coronavirus case data and why it is close to 1.

适合英国冠状病毒病例数据的繁殖数，以及为什么接近1。

DOI：
10.1098/rsta.2021.0301
发表时间：
2022-10-03
期刊：
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
影响因子：
5
作者：
Ackland, Graeme J.;Ackland, James A.;Antonioletti, Mario;Wallace, David J.
通讯作者：
Wallace, David J.