CO-CONNECT: COVID - Curated and Open aNalysis aNd rEsearCh plaTform

CO-CONNECT：新冠肺炎 - 策划和开放的分析和研究平台

• 批准号: MR/V03488X/1
• 负责人: Philip Quinlan
• 金额: $ 521.3万
• 依托单位: University of Nottingham
• 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=MR%2FV03488X%2F1
• 关键词: CO; CONNECT; COVID; Curated; Open

CO-CONNECT is a collaborative project and it has four CO-PIs: Jefferson (Dundee), Sheikh (Edinburgh), Hopkins (PHE) and Quinlan (Nottingham).The current COVID-19 pandemic has caused hundreds of thousands of deaths, severely strained health systems and damaged economies across the world. At this time there is limited evidence that people who have recovered from COVID-19 and have antibodies are protected from a second infection and if so, how long that lasts. Understanding who is immune is vital to protect vulnerable individuals, to safely scale back population-based interventions and for managing disease transmission. The data which can help us to answer these key questions have been collected across the UK by a range of research groups and within clinical primary and secondary care settings. As this is a new disease, the standards for antibody data capture are in their infancy so some of the details need to answer the key questions are not being captured systematically. The fragmented landscape of data means that it can be challenging for public health groups and researchers to find and access the high-quality data they need at pace. We will: - Standardise antibody data collection across the UK - Configure an infrastructure which enables trustworthy, fast, de-identified, secure analysis of data sets from across multiple sources - Answer key questions about immunity to COVID-19 and the implications for patient outcomes.

CO-PECT是一个合作项目，它有四个CO-PI：杰斐逊（邓迪），谢赫（爱丁堡），霍普金斯（PHE）和昆兰（诺丁汉）。当前的COVID-19大流行已造成数十万人死亡，严重紧张的卫生系统和破坏世界各地的经济。目前，有限的证据表明，从COVID-19中康复并具有抗体的人可以免受第二次感染，如果是这样，这种情况会持续多久。了解谁具有免疫力对于保护脆弱个体、安全地缩减基于人群的干预措施和管理疾病传播至关重要。可以帮助我们回答这些关键问题的数据已经由一系列研究小组在英国各地以及临床初级和二级保健环境中收集。由于这是一种新的疾病，抗体数据采集的标准还处于起步阶段，因此回答关键问题所需的一些细节还没有系统地采集。分散的数据格局意味着公共卫生组织和研究人员要及时找到和访问所需的高质量数据可能具有挑战性。我们将：- 标准化英国各地的抗体数据收集-配置基础设施，以便对来自多个来源的数据集进行可靠、快速、去识别、安全的分析-回答有关COVID-19免疫力的关键问题以及对患者结果的影响。

项目成果

Developing a new Governance Approval Process to support federated discovery and meta-analysis of data across the UK through the CO-CONNECT project. , International Journal of Population Data Science

开发新的治理审批流程，以支持通过 CO-CONNECT 项目对英国各地的数据进行联合发现和元分析。

• 发表时间: 2022
• 作者: Jefferson E

A Hybrid Architecture (CO-CONNECT) to Facilitate Rapid Discovery and Access to Data Across the United Kingdom in Response to the COVID-19 Pandemic: Development Study.

• DOI: 10.2196/40035
• 发表时间: 2022-12-27
• 期刊: JOURNAL OF MEDICAL INTERNET RESEARCH
• 影响因子: 7.4
• 作者: Jefferson, Emily;Cole, Christian;Mumtaz, Shahzad;Cox, Samuel;Giles, Thomas Charles;Adejumo, Sam;Urwin, Esmond;Lea, Daniel;Macdonald, Calum;Best, Joseph;Masood, Erum;Milligan, Gordon;Johnston, Jenny;Horban, Scott;Birced, Ipek;Hall, Christopher;Jackson, Aaron S.;Collins, Clare;Rising, Sam;Dodsley, Charlotte;Hampton, Jill;Hadfield, Andrew;Santos, Roberto;Tarr, Simon;Panagi, Vasiliki;Lavagna, Joseph;Jackson, Tracy;Chuter, Antony;Beggs, Jillian;Martinez-Queipo, Magdalena;Ward, Helen;von Ziegenweidt, Julie;Burns, Frances;Martin, Joanne;Sebire, Neil;Morris, Carole;Bradley, Declan;Baxter, Rob;Ahonen-Bishopp, Anni;Smith, Paul;Shoemark, Amelia;Valdes, Ana M.;Ollivere, Benjamin;Manisty, Charlotte;Eyre, David;Gallant, Stephanie;Joy, George;McAuley, Andrew;Connell, David;Northstone, Kate;Jeffery, Katie;Di Angelantonio, Emanuele;McMahon, Amy;Walker, Mat;Semple, Malcolm Gracie;Sims, Jessica Mai;Lawrence, Emma;Davies, Bethan;Baillie, John Kenneth;Tang, Ming;Leeming, Gary;Power, Linda;Breeze, Thomas;Murray, Duncan;Orton, Chris;Pierce, Iain;Hall, Ian;Ladhani, Shamez;Gillson, Natalie;Whitaker, Matthew;Shallcross, Laura;Seymour, David;Varma, Susheel;Reilly, Gerry;Morris, Andrew;Hopkins, Susan;Sheikh, Aziz;Quinlan, Philip
• 通讯作者: Quinlan, Philip

Prophylactic Treatment of COVID-19 in Care Homes Trial (PROTECT-CH)

护理院试验中的 COVID-19 预防性治疗 (PROTECT-CH)

• DOI: 10.1101/2022.08.29.22279359
• 发表时间: 2022
• 作者: Bath P

CO-CONNECT: A hybrid architecture to facilitate rapid discovery and access to UK wide data in the response to the COVID-19 pandemic (Preprint)

CO-CONNECT：一种混合架构，可促进快速发现和访问英国范围内的数据，以应对 COVID-19 大流行（预印本）

• DOI: 10.2196/preprints.40035
• 发表时间: 2022
• 作者: Jefferson E

Developing a new Governance Approval Process to support federated discovery and meta-analysis of data across the UK through the CO-CONNECT project.

• DOI: 10.23889/ijpds.v7i3.1799
• 发表时间: 2022-08-25
• 期刊: International Journal of Population Data Science