Unravelling data for rapid evidence-based response to COVID-19: a summary of the unCoVer protocol
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Publication Date: | 2021 |
Other Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
Format: | Article |
Language: | eng |
Source: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Download full: | http://hdl.handle.net/10400.14/36141 |
Summary: | Introduction unCoVer - Unravelling data for rapid evidence-based response to COVID-19 - is a Horizon 2020-funded network of 29 partners from 18 countries capable of collecting and using real-world data (RWD) derived from the response and provision of care to patients with COVID-19 by health systems across Europe and elsewhere. unCoVer aims to exploit the full potential of this information to rapidly address clinical and epidemiological research questions arising from the evolving pandemic. Methods and analysis From the onset of the COVID-19 pandemic, partners are gathering RWD from electronic health records currently including information from over 22 000 hospitalised patients with COVID-19, and national surveillance and screening data, and registries with over 1 900 000 COVID-19 cases across Europe, with continuous updates. These heterogeneous datasets will be described, harmonised and integrated into a multi-user data repository operated through Opal-DataSHIELD, an interoperable open-source server application. Federated data analyses, without sharing or disclosing any individual-level data, will be performed with the objective to reveal patients' baseline characteristics, biomarkers, determinants of COVID-19 prognosis, safety and effectiveness of treatments, and potential strategies against COVID-19, as well as epidemiological patterns. These analyses will complement evidence from efficacy/safety clinical trials, where vulnerable, more complex/heterogeneous populations and those most at risk of severe COVID-19 are often excluded. Ethics and dissemination After strict ethical considerations, databases will be available through a federated data analysis platform that allows processing of available COVID-19 RWD without disclosing identification information to analysts and limiting output to data aggregates. Dissemination of unCoVer's activities will be related to the access and use of dissimilar RWD, as well as the results generated by the pooled analyses. Dissemination will include training and educational activities, scientific publications and conference communications. |
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Unravelling data for rapid evidence-based response to COVID-19: a summary of the unCoVer protocolCOVID-19Statistics & research methodsPublic healthIntroduction unCoVer - Unravelling data for rapid evidence-based response to COVID-19 - is a Horizon 2020-funded network of 29 partners from 18 countries capable of collecting and using real-world data (RWD) derived from the response and provision of care to patients with COVID-19 by health systems across Europe and elsewhere. unCoVer aims to exploit the full potential of this information to rapidly address clinical and epidemiological research questions arising from the evolving pandemic. Methods and analysis From the onset of the COVID-19 pandemic, partners are gathering RWD from electronic health records currently including information from over 22 000 hospitalised patients with COVID-19, and national surveillance and screening data, and registries with over 1 900 000 COVID-19 cases across Europe, with continuous updates. These heterogeneous datasets will be described, harmonised and integrated into a multi-user data repository operated through Opal-DataSHIELD, an interoperable open-source server application. Federated data analyses, without sharing or disclosing any individual-level data, will be performed with the objective to reveal patients' baseline characteristics, biomarkers, determinants of COVID-19 prognosis, safety and effectiveness of treatments, and potential strategies against COVID-19, as well as epidemiological patterns. These analyses will complement evidence from efficacy/safety clinical trials, where vulnerable, more complex/heterogeneous populations and those most at risk of severe COVID-19 are often excluded. Ethics and dissemination After strict ethical considerations, databases will be available through a federated data analysis platform that allows processing of available COVID-19 RWD without disclosing identification information to analysts and limiting output to data aggregates. Dissemination of unCoVer's activities will be related to the access and use of dissimilar RWD, as well as the results generated by the pooled analyses. Dissemination will include training and educational activities, scientific publications and conference communications.Veritati - Repositório Institucional da Universidade Católica PortuguesaPeñalvo, José L.Mertens, EllyAdemović, EnisaAkgun, SevalBaltazar, Ana LúciaBuonfrate, DoraČoklo, MiranDevleesschauwer, BrechtValencia, Paula Andrea DiazFernandes, João C.Gómez, Enrique JavierHynds, PaulKabir, ZubairKlein, JörnKostoulas, PolychronisJiménez, Lucía LlanosLotrean, Lucia MariaMajdan, MarekMenasalvas, ErnestinaNguewa, PaulOh, In-HwanO'Sullivan, GeorgiePereira, David M.Ortiz, Miguel ReinaRiva, SilviaSoriano, GloriaSoriano, Joan B.Spilki, FernandoTamang, Mary ElizabethTrofor, Antigona CarmenVaillant, MichelIerssel, Sabrina VanVuković, JakovCastellano, José M.2021-12-08T17:16:36Z2021-11-182021-11-18T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.14/36141eng2044-605510.1136/bmjopen-2021-05563085120371425PMC860292834794999000720985600001info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-08-15T01:42:34Zoai:repositorio.ucp.pt:10400.14/36141Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T18:29:20.952106Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Unravelling data for rapid evidence-based response to COVID-19: a summary of the unCoVer protocol |
title |
Unravelling data for rapid evidence-based response to COVID-19: a summary of the unCoVer protocol |
spellingShingle |
Unravelling data for rapid evidence-based response to COVID-19: a summary of the unCoVer protocol Peñalvo, José L. COVID-19 Statistics & research methods Public health |
title_short |
Unravelling data for rapid evidence-based response to COVID-19: a summary of the unCoVer protocol |
title_full |
Unravelling data for rapid evidence-based response to COVID-19: a summary of the unCoVer protocol |
title_fullStr |
Unravelling data for rapid evidence-based response to COVID-19: a summary of the unCoVer protocol |
title_full_unstemmed |
Unravelling data for rapid evidence-based response to COVID-19: a summary of the unCoVer protocol |
title_sort |
Unravelling data for rapid evidence-based response to COVID-19: a summary of the unCoVer protocol |
author |
Peñalvo, José L. |
author_facet |
Peñalvo, José L. Mertens, Elly Ademović, Enisa Akgun, Seval Baltazar, Ana Lúcia Buonfrate, Dora Čoklo, Miran Devleesschauwer, Brecht Valencia, Paula Andrea Diaz Fernandes, João C. Gómez, Enrique Javier Hynds, Paul Kabir, Zubair Klein, Jörn Kostoulas, Polychronis Jiménez, Lucía Llanos Lotrean, Lucia Maria Majdan, Marek Menasalvas, Ernestina Nguewa, Paul Oh, In-Hwan O'Sullivan, Georgie Pereira, David M. Ortiz, Miguel Reina Riva, Silvia Soriano, Gloria Soriano, Joan B. Spilki, Fernando Tamang, Mary Elizabeth Trofor, Antigona Carmen Vaillant, Michel Ierssel, Sabrina Van Vuković, Jakov Castellano, José M. |
author_role |
author |
author2 |
Mertens, Elly Ademović, Enisa Akgun, Seval Baltazar, Ana Lúcia Buonfrate, Dora Čoklo, Miran Devleesschauwer, Brecht Valencia, Paula Andrea Diaz Fernandes, João C. Gómez, Enrique Javier Hynds, Paul Kabir, Zubair Klein, Jörn Kostoulas, Polychronis Jiménez, Lucía Llanos Lotrean, Lucia Maria Majdan, Marek Menasalvas, Ernestina Nguewa, Paul Oh, In-Hwan O'Sullivan, Georgie Pereira, David M. Ortiz, Miguel Reina Riva, Silvia Soriano, Gloria Soriano, Joan B. Spilki, Fernando Tamang, Mary Elizabeth Trofor, Antigona Carmen Vaillant, Michel Ierssel, Sabrina Van Vuković, Jakov Castellano, José M. |
author2_role |
author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author |
dc.contributor.none.fl_str_mv |
Veritati - Repositório Institucional da Universidade Católica Portuguesa |
dc.contributor.author.fl_str_mv |
Peñalvo, José L. Mertens, Elly Ademović, Enisa Akgun, Seval Baltazar, Ana Lúcia Buonfrate, Dora Čoklo, Miran Devleesschauwer, Brecht Valencia, Paula Andrea Diaz Fernandes, João C. Gómez, Enrique Javier Hynds, Paul Kabir, Zubair Klein, Jörn Kostoulas, Polychronis Jiménez, Lucía Llanos Lotrean, Lucia Maria Majdan, Marek Menasalvas, Ernestina Nguewa, Paul Oh, In-Hwan O'Sullivan, Georgie Pereira, David M. Ortiz, Miguel Reina Riva, Silvia Soriano, Gloria Soriano, Joan B. Spilki, Fernando Tamang, Mary Elizabeth Trofor, Antigona Carmen Vaillant, Michel Ierssel, Sabrina Van Vuković, Jakov Castellano, José M. |
dc.subject.por.fl_str_mv |
COVID-19 Statistics & research methods Public health |
topic |
COVID-19 Statistics & research methods Public health |
description |
Introduction unCoVer - Unravelling data for rapid evidence-based response to COVID-19 - is a Horizon 2020-funded network of 29 partners from 18 countries capable of collecting and using real-world data (RWD) derived from the response and provision of care to patients with COVID-19 by health systems across Europe and elsewhere. unCoVer aims to exploit the full potential of this information to rapidly address clinical and epidemiological research questions arising from the evolving pandemic. Methods and analysis From the onset of the COVID-19 pandemic, partners are gathering RWD from electronic health records currently including information from over 22 000 hospitalised patients with COVID-19, and national surveillance and screening data, and registries with over 1 900 000 COVID-19 cases across Europe, with continuous updates. These heterogeneous datasets will be described, harmonised and integrated into a multi-user data repository operated through Opal-DataSHIELD, an interoperable open-source server application. Federated data analyses, without sharing or disclosing any individual-level data, will be performed with the objective to reveal patients' baseline characteristics, biomarkers, determinants of COVID-19 prognosis, safety and effectiveness of treatments, and potential strategies against COVID-19, as well as epidemiological patterns. These analyses will complement evidence from efficacy/safety clinical trials, where vulnerable, more complex/heterogeneous populations and those most at risk of severe COVID-19 are often excluded. Ethics and dissemination After strict ethical considerations, databases will be available through a federated data analysis platform that allows processing of available COVID-19 RWD without disclosing identification information to analysts and limiting output to data aggregates. Dissemination of unCoVer's activities will be related to the access and use of dissimilar RWD, as well as the results generated by the pooled analyses. Dissemination will include training and educational activities, scientific publications and conference communications. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-12-08T17:16:36Z 2021-11-18 2021-11-18T00:00:00Z |
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info:eu-repo/semantics/publishedVersion |
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2044-6055 10.1136/bmjopen-2021-055630 85120371425 PMC8602928 34794999 000720985600001 |
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