Summary
unCoVer is a functional network of research institutions collecting data derived from the provision of care to COVID-19 patients by health systems across Europe and internationally. These real-world data allow for studies into patient’s characteristics, risk factors, safety and effectiveness of treatments and potential strategies against COVID-19 in real settings, and complement findings from efficacy/safety clinical trials where vulnerable groups, and patients with comorbidities are often excluded. The network will facilitate access to otherwise scattered datasets, and build computational and analytical platforms to streamline studies on risk characterisation, and prediction modelling using standardised pooled data derived from real life practices. It will fill data gaps, unify current initiatives and create downstream exploitation opportunities for researchers and public health strategies to optimise COVID-19 strategies and minimise the impacts of future outbreaks
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| Web resources: | https://cordis.europa.eu/project/id/101016216 |
| Start date: | 15-11-2020 |
| End date: | 14-11-2022 |
| Total budget - Public funding: | 3 045 573,00 Euro - 2 997 440,00 Euro |
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Original description
unCoVer is a functional network of research institutions collecting data derived from the provision of care to COVID-19 patients by health systems across Europe and internationally. These real-world data allow for studies into patient’s characteristics, risk factors, safety and effectiveness of treatments and potential strategies against COVID-19 in real settings, and complement findings from efficacy/safety clinical trials where vulnerable groups, and patients with comorbidities are often excluded. The network will facilitate access to otherwise scattered datasets, and build computational and analytical platforms to streamline studies on risk characterisation, and prediction modelling using standardised pooled data derived from real life practices. It will fill data gaps, unify current initiatives and create downstream exploitation opportunities for researchers and public health strategies to optimise COVID-19 strategies and minimise the impacts of future outbreaksStatus
SIGNEDCall topic
SC1-PHE-CORONAVIRUS-2020-2EUpdate Date
26-10-2022
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