Using Agent-Based Simulation to Investigate Behavioral Interventions in a Pandemic Simulating Behavioral Interventions in a Pandemic

Jan de Mooij*, Davide Dell’Anna, Parantapa Bhattacharya, Mehdi Dastani, Brian Logan, Samarth Swarup

*Corresponding author for this work

Research output: Contribution to journalConference articleScientificpeer-review

1 Citation (Scopus)
29 Downloads (Pure)


Simulation is a useful tool for evaluating behavioral interventions when the adoption rate among a population is uncertain. Individual agent models are often prohibitively expensive, but, unlike stochastic models, allow studying compliance heterogeneity. In this paper we demonstrate the feasibility of evaluating behavioral intervention policies using large-scale data-driven agent-based simulations. We explain how the simulation is calibrated with respect to real-world data, and demonstrate the utility of our approach by studying the effectiveness of interventions used in Virginia in early 2020 through counterfactual simulations.

Original languageEnglish
Number of pages8
JournalCEUR Workshop Proceedings
Publication statusPublished - 2022
Event1st Workshop on Agent-Based Modeling and Policy-Making, AMPM 2021 - Virtual, Vulnius, Lithuania
Duration: 8 Dec 2021 → …


  • Agent-based Computational Epidemiology
  • Agent-based Modeling
  • Belief-Desire-Intention
  • Complex Social Simulation
  • Multi-agent Simulation
  • Normative Reasoning
  • Policy Evaluation
  • Synthetic Population

Cite this