Unravelling data for rapid evidence-based response to COVID-19: a summary of the unCoVer protocol

Penalvo, J, Mertens, E, Ademović, E, Akgun, S, Baltazar, AM, Buonfrate, D, Čoklo, M, Devleesschauwer, B, Diaz Valencia, PA, Fernandes, JC, Gómez, EJ, Hynds, P, Kabir, Z, Klein, J, Kostoulas, P, Jiménez, LL, Lotrean, LM, Majdan, M, Menasalvas, E, Nguewa, P, Oh, I, O’Sullivan, G, Pereira, DM, Reina Ortiz, M, Riva, Silvia ORCID logoORCID: https://orcid.org/0000-0003-2153-0169, Soriano, G, Soriano, JB, Spilki, F, Tamang, ME, Trofor, AC, Vaillant, M, Van Iersse, S, Vuković, J and Castellano, JM (2021) Unravelling data for rapid evidence-based response to COVID-19: a summary of the unCoVer protocol. BMJ Open, 11. ISSN 2044-6055 DOI: https://doi.org/10.1136/ bmjopen-2021-055630


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Item Type: Journal Article
Date Deposited: 01 Nov 2022 13:39
URI: https://research.stmarys.ac.uk/id/eprint/5516
Additional Information: The unCoVer (Unravelling data for rapid evidence-based response to COVID-19) network includes a sizeable number of partners that will exploit the full potential of real-world data derived from the provision of care to patients with COVID-19 by health systems across Europe and elsewhere. With the availability of international harmonised real-world data provided by the unCoVer network, a large amount of information on patients with COVID-19 will be studied to better understand aspects of pathophysiology, progression and treatment, and the epidemiological patterns of this novel disease, as well as to grasp the less understood, and potentially unearthed, risk factors associated with COVID-19 severity. The development and deployment of a federated data platform for combined analysis meet patients’ data protection principles and comply with ethical standards, including general data protection regulation and national data privacy legislation, while allowing for advanced analytics. Continuous process evaluation will be carried out throughout the project life to identify limitations and barriers to the harmonised use of data, and simultaneously providing advice on improving data systems for rapid response to future public health crises.
Research area: 150 Psychology
School/Department: Department of Psychology & Pedagogic Science
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