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Related Experiment Video

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Situating agent-based modelling in population health research.

Eric Silverman1, Umberto Gostoli2, Stefano Picascia2

  • 1MRC/CSO Social and Public Health Sciences Unit, University of Glasgow, 99 Berkeley Street, Glasgow, G3 7HR, UK. eric.silverman@glasgow.ac.uk.

Emerging Themes in Epidemiology
|July 31, 2021
PubMed
Summary

Agent-based modeling (ABM) offers a powerful approach to address complex population health challenges, particularly those influenced by social and environmental factors. This method enhances traditional epidemiology by tackling problems previously inaccessible to standard modeling techniques.

Keywords:
Agent-based modellingComplexityPopulation health

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Area of Science:

  • Complex Systems Theory
  • Epidemiology
  • Computational Social Science

Background:

  • Population health challenges are increasingly driven by social and environmental determinants.
  • Traditional epidemiological methods struggle to model these complex, multifaceted issues.
  • Agent-based modeling (ABM) presents a promising, yet underutilized, approach in population health.

Purpose of the Study:

  • To advocate for the wider adoption of agent-based modeling (ABM) in population health research.
  • To illustrate the unique utility of ABM for addressing questions beyond the scope of traditional epidemiology.
  • To clarify conceptual misunderstandings surrounding ABM and complex systems theory.

Main Methods:

  • Detailed presentation of core concepts in complex systems theory.
  • Explanation of the essential role of simulations in studying complex systems.
  • Review of the current state of agent-based modeling in population health research.

Main Results:

  • Agent-based modeling (ABM) is well-suited for investigating 'wicked' problems in population health.
  • ABM can provide insights into complex interactions of social and environmental determinants.
  • Simulations are crucial for understanding emergent behaviors in complex systems.

Conclusions:

  • Agent-based modeling (ABM) can significantly contribute to population health theory development.
  • ABM offers a valuable toolkit for designing innovative public health interventions.
  • Adoption of ABM can enhance our capacity to tackle intractable population health issues.