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.

共同连接是一个协作项目，它有四个共同案件：杰斐逊（邓迪），谢赫（爱丁堡），霍普金斯（PHE）和昆兰（诺丁汉）。目前的Covid-19次大流行病造成了数十万次死亡，严重紧张，卫生系统和全球有害经济体。目前，有限的证据表明，从Covid-19中恢复并具有抗体的人受到第二种感染的保护，如果是，则可以使用多长时间。了解谁免疫对于保护弱势个人，安全地缩减基于人群的干预措施并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由一系列研究小组以及临床初级和二级护理环境中收集。由于这是一种新疾病，因此抗体数据捕获的标准处于起步阶段，因此某些细节需要回答关键问题的一些细节不会系统地捕获。数据的碎片景观意味着，对于公共卫生小组和研究人员而言，找到和访问他们所需的高质量数据可能是具有挑战性的。我们将： - 标准化整个英国的抗体数据收集 - 配置一种基础架构，该基础架构可以值得信赖，快速，取消识别，安全分析来自多个来源的数据集 - 回答有关Covid -19的免疫力的关键问题，以及对患者结果的影响。

项目成果

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

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

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

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

The COVID - Curated and Open aNalysis aNd rEsearCh plaTform (CO-CONNECT).

• DOI: 10.23889/ijpds.v7i3.1792
• 发表时间: 2022-08-25
• 期刊: International Journal of Population Data Science