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，成千上万的研究人员的工作被中断，无法使用实验室设备或旅行。他们愿意为新冠病毒建模工作做出贡献。 RAMP 解决了协调和集中整个英国工作的需要。计算机建模也许是独一无二的，因为封锁实际上增强了能力，尽管一旦放松限制，我们将继续用新的或重新利用的资金来协调项目，直到危机真正结束。封锁的独特情况和新冠疫情前所未有的重要性这意味着新知识的产生在没有直接资金的情况下迅速发展。数千份明显与新冠病毒相关的预印本已经出现在 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，这些工作缺乏重点、大量重复，而且往往缺乏处理我们面临的实际危机细节的针对性。该项目的中心目标是集中精力开展这项工作，并促进政策制定的知识转移。此外，我们现在并将继续充当向社区解决政策问题并升级有希望的工作途径的渠道RAMP 以及政府的 SPI-M 和 SAGE 委员会是决策者的共同成员。RAMP 提供了一种机制，通过该机制可以立即开展不需要直接资金的有用工作。

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）

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

拟合英国冠状病毒病例数据的复制数及其接近 1 的原因。

DOI：
http://dx.10.1098/rsta.2021.0301
发表时间：
2022
期刊：
Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
影响因子：
0
作者：
Ackland GJ
通讯作者：
Ackland GJ

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：
http://dx.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

The Royal Society RAMP modelling initiative.

英国皇家学会 RAMP 建模倡议。

DOI：
http://dx.10.1098/rsta.2021.0316
发表时间：
2022
期刊：
Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
影响因子：
0
作者：
Ackland GJ
通讯作者：
Ackland GJ

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

学校停课对 2019 年冠状病毒病死亡率的影响：新旧预测。