Pregled bibliografske jedinice broj: 1212460
Unravelling data for rapid evidence-based response to COVID-19 - inantro experience from the uncover project
Unravelling data for rapid evidence-based response to COVID-19 - inantro experience from the uncover project // Journal of Bioanthropology, 2 (2022), 1 / Primorac, Dragan ; Vuk–Pavlović, Stanimir ; Kayser, Manfred ; Ordog, Tamas (ur.).
Zagreb: Institute for Anthropological Research ; International Society for Applied Biological Sciences (ISABS, 2022. str. 314-314 doi:10.54062/jb (pozvano predavanje, međunarodna recenzija, sažetak, stručni)
CROSBI ID: 1212460 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Unravelling data for rapid evidence-based response to COVID-19 - inantro experience
from the uncover project
(Unravelling data for rapid evidence-based response
to COVID-19 - inantro experience from the uncover
project)
Autori
Čoklo, Miran ; Dolanc, Ivan ; Jonjić, Antonija ; Šarac, Jelena ; Bočkor, Luka ; Novokmet, Natalija ; Tarle, Marko ; Mustapić, Sanda ; Kmet, Marta ; Orehovec, Biserka ; Lukšić, Ivica ; Missoni, Saša
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, stručni
Izvornik
Journal of Bioanthropology, 2 (2022), 1
/ Primorac, Dragan ; Vuk–Pavlović, Stanimir ; Kayser, Manfred ; Ordog, Tamas - Zagreb : Institute for Anthropological Research ; International Society for Applied Biological Sciences (ISABS, 2022, 314-314
ISBN
978-953-57695-4-5
Skup
12th ISABS Conference on Forensic and Anthropological Genetics and Mayo Clinic Lectures in Individualized Medicine
Mjesto i datum
Dubrovnik, Hrvatska, 22.07.2002. - 27.07.2002
Vrsta sudjelovanja
Pozvano predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
COVID-19 ; pandemic ; OpalDataSHIELD ; real-world data
Sažetak
“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).
Izvorni jezik
Engleski
Znanstvena područja
Temeljne medicinske znanosti, Kliničke medicinske znanosti, Javno zdravstvo i zdravstvena zaštita
POVEZANOST RADA
Ustanove:
Medicinski fakultet, Zagreb,
Institut za antropologiju,
Klinička bolnica "Dubrava"
Profili:
Marko Tarle
(autor)
Ivan Dolanc
(autor)
Jelena Šarac
(autor)
Antonija Jonjić
(autor)
Miran Čoklo
(autor)
Natalija Novokmet
(autor)
Luka Bočkor
(autor)
Ivica Lukšić
(autor)
Marta Kmet
(autor)
Saša Missoni
(autor)