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Agent-Based Behavioral Models: Modeling COVID19 Behavior

In: Machine Learning Perspectives of Agent-Based Models

Author

Listed:
  • Anand Rao

    (Carnegie Mellon University, Heinz College of Information Systems and Public Policy)

  • Arit Kumar Bishwas

    (PricewaterhouseCoopers)

Abstract

The dynamics of the COVID19 pandemic was largely dictated by the behavior of the people to the disease and the government interventions that were imposed to control the disease. In this chapter we use agent-based modeling to model the behavior of individuals, including their mobility, social distancing, propensity to wear masks, pandemic fear, pandemic fatigue, and a number of other behaviors. We will also examine the interplay between these behaviors and the different government restrictions, such as, stay-at-home order, bar closure, restaurant closure, ban on large gatherings, etc.

Suggested Citation

  • Anand Rao & Arit Kumar Bishwas, 2025. "Agent-Based Behavioral Models: Modeling COVID19 Behavior," Springer Books, in: Pedro Campos & Anand Rao & Joaquim Margarido (ed.), Machine Learning Perspectives of Agent-Based Models, chapter 0, pages 77-97, Springer.
    • Handle: RePEc:spr:sprchp:978-3-031-73354-3_4
    DOI: 10.1007/978-3-031-73354-3_4
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