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A statistician's perspective on digital epidemiology.

Michael Höhle1

  • 1Department of Mathematics, University of Stockholm, Stockholm, Sweden. hoehle@math.su.se.

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PubMed
Summary
This summary is machine-generated.

Digital epidemiology does not represent a fundamental shift in infectious disease epidemiology, as it has always been data-driven. Modern infectious disease epidemiology requires an interdisciplinary quantitative approach due to increased data prominence.

Keywords:
BiasBig dataDigitalizationInfectious diseasesInterdisciplinarity

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Area of Science:

  • Epidemiology
  • Statistics
  • Digital Health

Background:

  • Infectious disease epidemiology has historically relied on data analysis.
  • The rise of digital technologies has increased the volume and complexity of data available.
  • This prompts a re-evaluation of the field's methodologies and theoretical underpinnings.

Purpose of the Study:

  • To critically assess whether digital epidemiology constitutes an epistemic shift in the field.
  • To examine the role of statistical methods in contemporary infectious disease epidemiology.
  • To highlight the evolving skill set required for epidemiologists in the digital age.

Main Methods:

  • A statistician's perspective is adopted to analyze the evolution of epidemiological practices.
  • The study reviews the historical data-driven nature of infectious disease epidemiology.
  • It discusses the impact of increased data availability on statistical methodologies.

Main Results:

  • Infectious disease epidemiology remains fundamentally data-driven, without a core epistemic shift.
  • The prominence of data in the digital age necessitates an expanded statistical toolbox for epidemiologists.
  • Problem-solving in modern epidemiology increasingly demands an interdisciplinary quantitative approach.

Conclusions:

  • Digital epidemiology is an evolution, not a revolution, building upon the field's data-centric foundations.
  • The modern epidemiologist must embrace advanced statistical and interdisciplinary quantitative skills.
  • Adapting to the digital age ensures continued effectiveness in addressing infectious disease challenges.