Evidence map›Paper›PMID 40926481›Full record

Observational studyEuropean journal of public health2025

Feasibility of mapping cross-country population coronavirus disease 2019 metrics in a federated design: learnings from a HealthData@EU Pilot use case.

Charles-Andrew Vande Catsyne, Matilde Slot, Tamara Buble, Katrine Eriksen, Marija Svajda, Emanuel Bradasevic, Jakov Vukovic, Simon Kok Jensen, Helena Ivanković, Persephone Doupi and 2 more

Abstract readObservational Study
In one paragraph

Observational study in European journal of public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Charles-Andrew Vande CatsyneData Governance, Sciensano, Brussels, Belgium.ORCID 0000-0001-6283-9029
Matilde SlotCONNECT, Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark.
Tamara BubleDivision for Health Informatics and Biostatistics, Croatian Institute of Public Health, Zagreb, Croatia.
Katrine EriksenCONNECT, Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark.
Marija SvajdaDivision for Health Informatics and Biostatistics, Croatian Institute of Public Health, Zagreb, Croatia.
Emanuel BradasevicDivision for Health Informatics and Biostatistics, Croatian Institute of Public Health, Zagreb, Croatia.
Jakov VukovicDivision for Health Informatics and Biostatistics, Croatian Institute of Public Health, Zagreb, Croatia.
Simon Kok JensenCONNECT, Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark.ORCID 0000-0002-0032-131X
Helena IvankovićDivision for Health Informatics and Biostatistics, Croatian Institute of Public Health, Zagreb, Croatia.
Persephone DoupiData and Analytics Department, Finnish Institute for Health and Welfare, Helsinki, Finland.
Christian Fynbo ChristiansenCONNECT, Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark.ORCID 0000-0002-0727-953X
Nienke SchutteData Governance, Sciensano, Brussels, Belgium.

Funding

Belgian Federal and Regional AuthoritiesEuropean UnionLINK-VACC
6 · The paper itself

Abstract

The European Health Data Space aims to transform health data management across the EU, supporting both primary and secondary uses of health data while ensuring trust through General Data Protection Regulation compliance. As part of the HealthData@EU Pilot, this study investigates coronavirus disease 2019 (COVID-19) testing, vaccination, and hospitalization metrics across six European countries, with a focus on socioeconomic disparities and challenges in cross-border data access and standardization. This observational, retrospective cohort study used a federated analysis framework across Belgium, Croatia, Denmark, Finland, and France. Data were linked from administrative, social, health, and care records within each country's trusted research environment. A Common Data Model (CDM)-guided data harmonization, enabling nodes to perform independent analyses and share aggregated results. Key data processes (discovery, access, preparation, and analysis) were decentralized, with significant variability in data access procedures, security protocols, and available resources among nodes. The study revealed substantial differences in COVID-19 testing, vaccination, and hospitalization rates across countries. Denmark exhibited notably higher testing and infection rates. However, the study encountered key challenges: complex data access procedures, fragmented and incomplete socioeconomic data, and the need for extensive harmonization. Learnings from this pilot underscore the importance of streamlined, cross-country data access and standardization processes, which the European Health Data Space (EHDS) framework aims to address. The pilot demonstrates the feasibility of federated health data analysis across multiple countries while highlighting limitations in data access and interoperability. The EHDS framework offers a promising path to overcome these barriers, supporting efficient and standardized cross-border health research in the EU.

Indexed as

COVID-19COVID-19 TestingEuropeFeasibility StudiesHospitalizationHumansPilot ProjectsRetrospective StudiesSARS-CoV-2

Identifiers

PMID40926481
PMCPMC12420901

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.