Phase 1 COVID-19 Data and Connectivity – National Core Study (Phase 1 D&C-NCS)
Phase 1 COVID-19 Data and Connectivity – National Core Study (Phase 1 D&C-NCS)
批准号:
MC_PC_20058
负责人:
Andrew Morris
金额:
$1936.78万
依托单位:
依托单位国家:
英国
项目类别:
Intramural
财政年份:
2021
资助国家:
英国
项目状态:
已结题
起止时间:
2021 至 --
中文摘要
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英文摘要
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
期刊论文(10)
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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
期刊:
影响因子:
--
作者:
[Allery F]
通讯作者:
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
期刊:
影响因子:
--
作者:
[Abbasizanjani H]
通讯作者:
Abbasizanjani H
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
DOI:
10.1016/s2213-2600(21)00380-5
发表时间:
2021-12
期刊:
The Lancet. Respiratory medicine
影响因子:
--
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
共 9 条
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New modelling capability for nano-confined phase change materials
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discover Edinburgh Health Informatics
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依托单位:
New modelling capability for nano-confined phase change materials
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Improving Safety for Older Public Transport Users
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依托单位:
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批准号:BB/I532745/1
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依托单位:
国内基金
海外基金
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