Unravelling data for rapid evidence-based response to COVID-19 - inantro experience from the uncover project (CROSBI ID 722369)
Prilog sa skupa u časopisu | sažetak izlaganja sa skupa | međunarodna recenzija
Podaci o odgovornosti
Čoklo, Miran ; Dolanc, Ivan ; Jonjić, Antonija ; Šarac, Jelena ; Bočkor, Luka ; Novokmet, Natalija ; Tarle, Marko ; Mustapić, Sanda ; Kmet, Marta ; Orehovec, Biserka ; Lukšić, Ivica ; Missoni, Saša
engleski
Unravelling data for rapid evidence-based response to COVID-19 - inantro experience from the uncover project
“unCoVer-Unravelling data for rapid evidence-based response to COVID-19” is a Horizon 2020-funded network of 29 partners from 18 countries. Formed with the aim to collect and use real-world data (RWD) resulting from response and provision of care to COVID-19 patients by health systems across Europe and elsewhere, unCoVer exploits the full potential of this information to rapidly address clinical and epidemiological research questions arising from the COVID-19 pandemic. These heterogeneous datasets comprise from information on over 22 000 hospitalized patients, as well as registry data on over 1 900 000 COVID-19 cases across Europe, with continuous updates. So far, the datasets have been described, harmonized and integrated into a multi-user data repository operated through OpalDataSHIELD, an interoperable open-source server application. Federated data analyses, without sharing or disclosing any individual-level data, is being performed to resolve various research questions emerging from dealing with the COVID-19 pandemic. Institute for Anthropological Research, Zagreb, Croatia, is one of the partners on the unCoVer project, together with our related third-party – Dubrava University Hospital, Zagreb, Croatia, providing clinical data on COVID-19 patients. Special emphasis will be given to our specific experience and lessons learned from participating in this project (data acquisition, ethical and GDPR issues, data analyses, influence of restrictions related to COVID-19 pandemic).
COVID-19 ; pandemic ; OpalDataSHIELD ; real-world data
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Podaci o prilogu
314-314.
2022.
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objavljeno
10.54062/jb
Podaci o matičnoj publikaciji
Primorac, Dragan ; Vuk–Pavlović, Stanimir ; Kayser, Manfred ; Ordog, Tamas
Zagreb: Institute for Anthropological Research ; International Society for Applied Biological Sciences (ISABS
978-953-57695-4-5
2787-8201
Podaci o skupu
Nepoznat skup
pozvano predavanje
29.02.1904-29.02.2096