Record linkage as a vital key player for the COVID-19 syndemic - The call for legal harmonization to overcome research challenges

Data de publicação:

Autores da FMUP

  • José Henrique Dias Pinto De Barros

    Autor

Participantes de fora da FMUP

  • Doetsch, JN
  • Kajantie, E
  • Dias, V
  • Indredavik, MS
  • Devold, RK
  • Teixeira, R
  • Reittu, J

Unidades de investigação

Abstract

The initial public health response to the COVID-19 pandemic aimed to prevent exponential dissemination and circumvent drastic collapses of healthcare systems [1]. Containment measures and required isolation promoted sedentary behaviours and stressful responses, which, as major determinants of chronic diseases, exacerbated prevalent co-morbidities. Patients with underlying chronic health conditions, older age, and less favourable social contexts have a threefold disadvantage: developing the disease with a higher risk, suffering a more severe course, and experiencing a fatal outcome [2]. Hence, the COVID-19 pandemic has a syndemic dimension [3], aggregating epidemics in a population, with social and complex biological interactions, which aggravate the burden of disease and challenge population-level forecasting. Therefore, a better understanding of the association between physical and mental chronic diseases, socioeconomic status, and risk of COVID-19 adverse outcomes could have a transformative effect on controlling long-term consequences. Although multiple tools and data collection methods have been used to stimulate research on COVID-19, these population data, collected either routinely (e.g., electronic health records, prescription claims), or through population-based observational cohorts, are collected in separate data systems, so that yet too few COVID-19 trials use medical databases that have been previously linked. Hence, a pressing demand to refine treatment requires a joint call: Record linkage ? defined as the merging of data from an individual or an incident, not existing in a distinct record, into a combined dataset [4].

Dados da publicação

ISSN/ISSNe:
2399-4908, 2399-4908

INTERNATIONAL JOURNAL OF POPULATION DATA SCIENCE (IJPDS)  Swansea University

Tipo:
Article
Páginas:
-

Citações Recebidas na Web of Science: 1

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Keywords

  • COVID-19; record linkage; routinely collected data; population-based cohorts; data privacy and protection

Financiamento

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