Agent-Based Modeling in Public Health: Current Applications and Future Directions

Melissa Tracy, Magdalena Cerda, Katherine M. Keyes

Research output: Contribution to journalReview articlepeer-review

78 Scopus citations


Agent-based modeling is a computational approach in which agents with a specified set of characteristics interact with each other and with their environment according to predefined rules. We review key areas in public health where agent-based modeling has been adopted, including both communicable and noncommunicable disease, health behaviors, and social epidemiology. Wealso describe the main strengths and limitations of this approach for questions with public health relevance. Finally, we describe both methodologic and substantive future directions that we believe will enhance the value of agent-based modeling for public health. In particular, advances in model validation, comparisons with other causal modeling procedures, and the expansion of the models to consider comorbidity and joint influences more systematically will improve the utility of this approach to inform public health research, practice, and policy.

Original languageEnglish (US)
Pages (from-to)77-94
Number of pages18
JournalAnnual Review of Public Health
StatePublished - Apr 1 2018


  • complex systems
  • computer models
  • epidemiology
  • population health
  • simulation
  • systems science

ASJC Scopus subject areas

  • Public Health, Environmental and Occupational Health


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