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[Data sources in epidemiology].

I Pigeot1, W Ahrens, J Kübler

  • 1Bremer Institut für Präventionsforschung und Sozialmedizin (BIPS), Linzer Strsse 10, 28359 Bremen. pigeot@bips.uni-bremen.de

Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz
|June 10, 2006
PubMed
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Large administrative and primary databases offer significant potential for epidemiological research. Exploiting these resources requires advanced analytical methods and addressing challenges in data protection and quality.

Area of Science:

  • Epidemiology
  • Health Informatics
  • Data Science

Context:

  • Large databases, including administrative and primary data, are increasingly vital for epidemiological research.
  • Routine data collected for administrative purposes hold significant, yet often untapped, research potential.
  • The integration of diverse data sources is crucial for comprehensive epidemiological studies.

Purpose:

  • To highlight the potential of large databases for epidemiological research.
  • To present relevant large databases and methods for their exploitation.
  • To discuss challenges and future directions in utilizing large databases for research.

Summary:

  • This paper explores the utility of large databases, both primary and administrative, for epidemiological research.

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  • It details methods for analyzing and linking these databases, exemplified by pharmaco-epidemiology.
  • Key challenges, including data protection, quality, and updates, are addressed.

    • Impact:

    • Enhances understanding of how to leverage large datasets for public health insights.
    • Provides a framework for developing and applying advanced analytical techniques in epidemiology.
    • Informs strategies for improving data quality, protection, and maintenance in large-scale research databases.