Phase 1 COVID-19 Data and Connectivity – National Core Study (Phase 1 D&C-NCS)

第 1 阶段 COVID-19 数据和连接 — 国家核心研究（第 1 阶段 D

• 批准号: MC_PC_20058
• 负责人: Andrew Morris
• 金额: $ 1936.78万
• 依托单位: Health Data Research UK
• 依托单位国家: 英国
• 项目类别: Intramural
• 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=MC_PC_20058
• 关键词: Phase; COVID; 19; Data; Connectivity

The Data and Connectivity study sits across the other National Core Studies and delivers a national health data research capability to support COVID-19 research questions, ensuring datasets are discoverable and accessible and linkages are established to answer the priority research questions from the other five National Core Studies. Making data available for wider research use will increase the scope of benefits beyond the specific studies above, leading to unexpected benefits and boosting UK research capacity more generally, increasing return on investment for the NCS programme. Data integration and harmonisation of methods and standards will enable rapid research and development of new interventions and technologies across the spectrum of COVID-19, and knowledge and technology transfer to other clinical and public health areas. Collation and linkage between datasets is critical to bringing the core studies together, ensuring that each of them can deliver against their policy priorities e.g. hospital data may not currently be linked with GP data and wider community data (e.g. socioeconomic data or data on housing and the built environment). Access, cleaning, linkage and use of these datasets together is needed to fully understand links between these factors and outcomes.Delivery of the COVID-19 Data and Connectivity Study will involve close interaction with data custodians, the public and patients, and providers of UK-wide national Trusted Research Environments (TREs) to ensure the required data is stored safely and securely, made readily available to approved researchers and is associated with compute, analytical and data services that make it easier to address priority research questions in a transparent and trustworthy way.Phase 1 will:• Continue to respond to emerging COVID-19 research priorities, mapping key datasets required by the National Core Studies, NIHR UPH Studies and SAGE sub-groups to allow research which can inform policy and operational decision making across the UK• Further develop the data infrastructure and services across the UK to allow faster access to high priority health, administrative, molecular, and behavioural data assets for researchers working on the most important COVID-related studies, ensuring priority research questions can be answered efficiently, in a transparent and trustworthy way. • Strengthen and extend the existing national Trusted Research Environments (TRE) and UK Health Data Research Innovation Gateway infrastructure through inclusive four nations approach ensuring the priority datasets for COVID-19 research are findable, accessible, inter-operable and reusable (FAIR) as a single shop window

数据和连通性研究位于其他国家核心研究中，并提供了国家卫生数据研究能力，以支持COVID-19的研究问题，确保数据集可以发现并且可以访问并建立链接，以回答其他五个国家核心研究的优先研究问题。使可用于更广泛的研究使用的数据将增加以外的特定研究的范围，从而更加普遍地提高英国研究能力，从而增加NCS计划的投资回报率。方法和标准的数据整合和协调将使COVID-19的新干预措施和技术以及知识和技术转移到其他临床和公共卫生领域的新干预措施和技术的快速研究和开发。数据集之间的整理和链接对于将核心研究结合在一起至关重要，确保每个数据都可以违反其政策优先事项，例如医院数据目前可能没有与GP数据和更广泛的社区数据联系起来（例如，有关住房和建筑环境的数据）。需要将这些数据集的访问，清洁，链接和使用在一起，以完全了解这些因素和结果之间的联系。送达COVID-19-19和连通性研究将涉及与数据保管人，公众和患者，公众和患者以及英国范围内的国家信任研究环境（TRES）的数据，以确保可依靠的数据与数据相关联，以确保可行的数据与数据相关联，以确保可供应的数据与数据相关联。 it easier to address priority research questions in a transparent and trustworthy way.Phase 1 will:• Continue to respond to emerging COVID-19 research priorities, mapping key datasets required by the National Core Studies, NIHR UPH Studies and SAGE sub-groups to allow research which can inform policy and operational decision making across the UK• Further developing the data infrastructure and services across the UK to allow faster access to high priority health, administrative, molecular, and针对从事最重要相关研究的研究人员的行为数据资产，确保优先研究问题可以以透明和值得信赖的方式有效地回答。 •通过包含四个国家的方法加强和扩展现有的国家信任研究环境（TRE）和英国健康数据研究创新基础架构，以确保可访问Covid-19的优先数据集，可访问，可访问，可重复使用且可重复使用（公平）作为单个商店的窗口

项目成果

Harmonising electronic health records for reproducible research: challenges, solutions and recommendations from a UK-wide COVID-19 research collaboration.

• DOI: 10.1186/s12911-022-02093-0
• 发表时间: 2023-01-16
• 期刊: BMC MEDICAL INFORMATICS AND DECISION MAKING
• 影响因子: 3.5
• 作者: Abbasizanjani, Hoda;Torabi, Fatemeh;Bedston, Stuart;Bolton, Thomas;Davies, Gareth;Denaxas, Spiros;Griffiths, Rowena;Herbert, Laura;Hollings, Sam;Keene, Spencer;Khunti, Kamlesh;Lowthian, Emily;Lyons, Jane;Mizani, Mehrdad A.;Nolan, John;Sudlow, Cathie;Walker, Venexia;Whiteley, William;Wood, Angela;Akbari, Ashley
• 通讯作者: Akbari, Ashley

Towards mitigating health inequity via machine learning: a nationwide cohort study to develop and validate ethnicity-specific models for prediction of cardiovascular disease risk in COVID-19 patients

通过机器学习减轻健康不平等：一项全国性队列研究，旨在开发和验证用于预测 COVID-19 患者心血管疾病风险的特定种族模型

• DOI: 10.1101/2023.09.13.23295489
• 发表时间: 2023
• 作者: Allery F

Harmonising electronic health records for reproducible research: challenges, solutions and recommendations from a UK-wide COVID-19 research collaboration

协调电子健康记录以进行可重复的研究：英国范围内的 COVID-19 研究合作面临的挑战、解决方案和建议

• DOI: 10.21203/rs.3.rs-2109276/v1
• 发表时间: 2022
• 作者: Abbasizanjani H

Ethnic inequalities in positive SARS-CoV-2 tests, infection prognosis, COVID-19 hospitalisations and deaths: analysis of 2 years of a record linked national cohort study in Scotland.

• DOI: 10.1136/jech-2023-220501
• 发表时间: 2023-10
• 期刊: JOURNAL OF EPIDEMIOLOGY AND COMMUNITY HEALTH
• 影响因子: 6.3
• 作者: Amele, Sarah;Kibuchi, Eliud;McCabe, Ronan;Pearce, Anna;Henery, Paul;Hainey, Kirsten;Fagbamigbe, Adeniyi Francis;Kurdi, Amanj;McCowan, Colin;Simpson, Colin R.;Dibben, Chris;Buchanan, Duncan;Demou, Evangelia;Almaghrabi, Fatima;Anghelescu, Gina;Taylor, Harry;Tibble, Holly;Rudan, Igor;Nazroo, James;Becares, Laia;Daines, Luke;Irizar, Patricia;Jayacodi, Sandra;Pattaro, Serena;Sheikh, Aziz;Katikireddi, Srinivasa Vittal
• 通讯作者: Katikireddi, Srinivasa Vittal

COVID-19 hospital admissions and deaths after BNT162b2 and ChAdOx1 nCoV-19 vaccinations in 2·57 million people in Scotland (EAVE II): a prospective cohort study.

• DOI: 10.1016/s2213-2600(21)00380-5
• 发表时间: 2021-12
• 期刊: The Lancet. Respiratory medicine
• 作者: Agrawal U;Katikireddi SV;McCowan C;Mulholland RH;Azcoaga-Lorenzo A;Amele S;Fagbamigbe AF;Vasileiou E;Grange Z;Shi T;Kerr S;Moore E;Murray JLK;Shah SA;Ritchie L;O'Reilly D;Stock SJ;Beggs J;Chuter A;Torabi F;Akbari A;Bedston S;McMenamin J;Wood R;Tang RSM;de Lusignan S;Hobbs FDR;Woolhouse M;Simpson CR;Robertson C;Sheikh A
• 通讯作者: Sheikh A