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Agent-based modelling (ABM) offers a novel bottom-up approach for economic evaluations, overcoming limitations of traditional methods. This tutorial explores ABM concepts and demonstrates its use in cost-effectiveness analysis for infectious disease screening.

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Area of Science:

  • Health economics
  • Computational modeling
  • Epidemiology

Background:

  • Traditional economic evaluation methods face limitations like linearity and homogeneity.
  • Agent-based modeling (ABM) provides a flexible, bottom-up approach to economic evaluations.
  • ABM captures emergent phenomena arising from individual agent interactions.

Purpose of the Study:

  • To introduce the fundamental concepts and features of Agent-based modeling (ABM).
  • To illustrate the application of ABM in cost-effectiveness analysis for infectious disease screening.
  • To discuss practical aspects of ABM implementation, including software and future research.

Main Methods:

  • Utilized Agent-based modeling (ABM) principles.
  • Developed a simple ABM using the open-source NetLogo platform.
  • Applied the model to assess the cost-effectiveness of infectious disease screening strategies.

Main Results:

  • Demonstrated the capability of ABM to model complex health economic scenarios.
  • Showcased the cost-effectiveness evaluation of a specific infectious disease screening program.
  • Highlighted the utility of NetLogo for developing and implementing ABMs in health economics.

Conclusions:

  • Agent-based modeling (ABM) is a powerful tool for overcoming limitations in economic evaluations.
  • ABM facilitates the analysis of infectious disease screening cost-effectiveness.
  • Further research into ABM applications in health economics is warranted, utilizing open-source platforms like NetLogo.