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Big Data in Epidemiology: Brave New World?

R A Jordan1, R K Celeste2, E Bernabe3

  • 1Institute of German Dentists, Cologne, Germany.

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Summary

Big data in epidemiology offers potential but faces challenges. A balanced approach integrating traditional methods with big data analytics is crucial for public health advancements.

Keywords:
artificial intelligencebiostatisticsdata analyticsevidence based dentistryglobal burden of diseasehealth surveys

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Area of Science:

  • Epidemiology
  • Public Health
  • Health Informatics

Background:

  • Epidemiology is increasingly using big data for health monitoring and decision-making.
  • Recent World Health Organization (WHO) global oral health reports faced criticism for relying on big data from the Global Burden of Disease (GBD) study.

Purpose of the Study:

  • To discuss the arguments for and against big data in epidemiology.
  • To assess the value and limitations of big data epidemiology.
  • To provide recommendations for reconciling traditional methods with big data analytics in oral health.

Main Methods:

  • Literature review and critical analysis of big data utilization in epidemiology.
  • Case study analysis of the WHO global oral health status report.
  • Discussion of challenges and potential of big data in public health.

Main Results:

  • Big data offers significant potential for health monitoring but presents challenges in interpretation and application.
  • Criticisms of big data reliance highlight the need for methodological rigor and transparency.
  • A balanced approach is necessary to leverage big data effectively.

Conclusions:

  • The oral health community must integrate traditional epidemiologic approaches with big data and advanced analytics.
  • Addressing the challenges of big data epidemiology is essential for robust public health insights.
  • A balanced data utilization strategy is recommended for the future of epidemiology.