Social inequalities and long-term health impact of COVID-19 in Belgium : protocol of the HELICON population data linkage

IntroductionData linkage systems have proven to be a powerful tool in support of combating and managing the COVID-19 pandemic. However, the interoperability and the reuse of different data sources may pose a number of technical, administrative and data security challenges.Methods and analysisThis protocol aims to provide a case study for linking highly sensitive individual-level information. We describe the data linkages between health surveillance records and administrative data sources necessary to investigate social health inequalities and the long-term health impact of COVID-19 in Belgium.... Mehr ...

Verfasser: De Pauw, Robby
Van den Borre, Laura
Baeyens, Youri
Cavillot, Lisa
Gadeyne, Sylvie
Ghattas, Jinane
De Smedt, Delphine
Jaminé, David
Khan, Yasmine
Lusyne, Patrick
Speybroeck, Niko
Racape, Judith
Rea, Andrea
Van Cauteren, Dieter
Vandepitte, Sophie
Vanthomme, Katrien
Devleesschauwer, Brecht
Dokumenttyp: journalarticle
Erscheinungsdatum: 2023
Verlag/Hrsg.: BMJ
Schlagwörter: Medicine and Health Sciences / Social Sciences / COVID-19 / social inequalities / cohort / long COVID / data linkages / SOCIAL MEDICINE / Health informatics / Public health
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-28958131
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : https://biblio.ugent.be/publication/01H0SJZ3K5KK49THYA8N2XZ5D2