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

ABSTRACT:

Introduction

Data 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 analysis

This 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. Data at the national institute for public health, Statistics Belgium and InterMutualistic Agency are used to develop a representative case-cohort study of 1.2 million randomly selec

SUBMITTER: De Pauw R 

PROVIDER: S-EPMC10200906 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature