RAMP Continuity Network: Scientific Meetings, Rapid Review Group, and Policy Support for COVID-19

RAMP 连续性网络：科学会议、快速审查小组和针对 COVID-19 的政策支持

• 批准号: EP/V053507/1
• 负责人: Michael Cates
• 金额: $ 67.18万
• 依托单位: University of Cambridge
• 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
• 起止时间: 2021 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FV053507%2F1
• 关键词: RAMP; Continuity; Network; Scientific; Meetings

Since its inception in late March, RAMP (Rapid Assistance in Modelling the Pandemic) has initiated many new projects and activities and involved in COVID-19 research several hundred scientists whose skill sets complement those of the traditional epidemic modelling community. The majority of substantive new research projects have sought or will seek individual continuity support from UKRI and can also draw on data support, discussion forums infrastructure, and central admin at Edinburgh funded already by UKRI (PI: Ackland). The current proposal is to sustain and add value to RAMP's new research ecosystem, and enhance its connectivity to other COVID-19 research activities across the UK, by funding continuation of key RAMP activities for a further 18 months in the following areas. (i) Scientific networking, to include discussion meetings, study groups, and workshops involving RAMP, SPI-M and other teams; these events organized primarily via the Isaac Newton Institute. (ii) RAMP's Rapid Review Group, based at Oxford, which scrutinizes outputs and reports (from RAMP, SPI-M, third parties and the open literature) so as to better inform Government and its advice channels. (iii) Policy work staffed by the Royal Society to ensure the scientific outputs of RAMP and others land correctly within Government to maximize their policy value.

自3月下旬成立以来，RAMP（大流行病建模快速援助）已经启动了许多新的项目和活动，并参与了COVID-19研究，数百名科学家的技能与传统的流行病建模社区的技能互补。大多数实质性的新研究项目已经或将寻求UKRI的个人连续性支持，也可以利用UKRI已经资助的数据支持，论坛基础设施和爱丁堡的中央管理（PI：Ackland）。目前的提议是通过资助RAMP在以下领域的关键活动，为RAMP的新研究生态系统提供持续18个月的支持和增值，并加强其与英国其他COVID-19研究活动的联系。(i)科学联网，包括讨论会、研究小组和有RAMP、SPI-M和其他小组参加的讲习班;这些活动主要通过艾萨克·牛顿研究所组织。(ii)RAMP的快速审查小组，总部设在牛津，负责审查（RAMP、SPI-M、第三方和公开文献的）产出和报告，以便更好地向政府及其咨询渠道提供信息。(iii)政策工作由皇家学会负责，以确保RAMP和其他机构的科学成果正确地在政府内部落实，以最大限度地发挥其政策价值。

项目成果

Generation time of the alpha and delta SARS-CoV-2 variants: an epidemiological analysis.

• DOI: 10.1016/s1473-3099(22)00001-9
• 发表时间: 2022-05
• 期刊: The Lancet. Infectious diseases
• 作者: Hart WS;Miller E;Andrews NJ;Waight P;Maini PK;Funk S;Thompson RN
• 通讯作者: Thompson RN

Visualization for epidemiological modelling: challenges, solutions, reflections and recommendations.

流行病学建模的可视化：挑战，解决方案，反思和建议。

• DOI: 10.1098/rsta.2021.0299
• 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: Dykes, Jason;Abdul-Rahman, Alfie;Archambault, Daniel;Bach, Benjamin;Borgo, Rita;Chen, Min;Enright, Jessica;Fang, Hui;Firat, Elif E.;Freeman, Euan;Gonen, Tuna;Harris, Claire;Jianu, Radu;John, Nigel W.;Khan, Saiful;Lahiff, Andrew;Laramee, Robert S.;Matthews, Louise;Mohr, Sibylle;Nguyen, Phong H.;Rahat, Alma A. M.;Reeve, Richard;Ritsos, Panagiotis D.;Roberts, Jonathan C.;Slingsby, Aidan;Swallow, Ben;Torsney-Weir, Thomas;Turkay, Cagatay;Turner, Robert;Vidal, Franck P.;Wang, Qiru;Wood, Jo;Xu, Kai
• 通讯作者: Xu, Kai

Supplementary Figures from Heterogeneity in the onwards transmission risk between local and imported cases affects practical estimates of the time-dependent reproduction number

本地病例和输入病例之间继续传播风险的异质性补充数据影响了时间依赖性繁殖数的实际估计

• DOI: 10.6084/m9.figshare.20180693
• 发表时间: 2022
• 作者: Creswell R

Getting the most out of maths: How to coordinate mathematical modelling research to support a pandemic, lessons learnt from three initiatives that were part of the COVID-19 response in the UK.

• DOI: 10.1016/j.jtbi.2022.111332
• 发表时间: 2023-01-21
• 期刊: JOURNAL OF THEORETICAL BIOLOGY
• 影响因子: 2
• 作者: Dangerfield, Ciara E;David Abrahams, I;Budd, Chris;Butchers, Matt;Cates, Michael E;Champneys, Alan R;Currie, Christine S M;Enright, Jessica;Gog, Julia R;Goriely, Alain;Deirdre Hollingsworth, T;Hoyle, Rebecca B;Ini Professional Services;Isham, Valerie;Jordan, Joanna;Kaouri, Maha H;Kavoussanakis, Kostas;Leeks, Jane;Maini, Philip K;Marr, Christie;Merritt, Clare;Mollison, Denis;Ray, Surajit;Thompson, Robin N;Wakefield, Alexandra;Wasley, Dawn
• 通讯作者: Wasley, Dawn

Inference of the SARS-CoV-2 generation time using UK household data.

• DOI: 10.7554/elife.70767
• 发表时间: 2022-02-09
• 期刊: eLife
• 影响因子: 7.7
• 作者: Hart WS;Abbott S;Endo A;Hellewell J;Miller E;Andrews N;Maini PK;Funk S;Thompson RN
• 通讯作者: Thompson RN