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The Mask Game with Multiple Populations.

Eitan Altman1,2,3, Mandar Datar1,2, Francesco de Pellegrini2

  • 1INRIA Sophia Antipolis - Méditerranée, Valbonne, France.

Dynamic Games and Applications
|March 7, 2022
PubMed
Summary
This summary is machine-generated.

This study models the mask-wearing game, finding that individuals adopt masks based on a personal risk threshold. This game theory approach helps understand mask adoption during epidemics.

Keywords:
Epidemic diffusionMultipopulation gamesThinning control

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Area of Science:

  • Epidemiology
  • Game Theory
  • Behavioral Economics

Background:

  • Masks are crucial for public health during epidemics, yet understanding adoption is complex.
  • Individual decisions to wear masks involve balancing protection benefits against comfort costs.

Purpose of the Study:

  • To model the decision-making process of mask-wearing as a game.
  • To analyze the factors influencing mask adoption in a population.

Main Methods:

  • Formulated mask-wearing as a Bayesian game, incorporating risk and health states.
  • Utilized evolutionary game theory to simplify the model to a one-shot equivalent game.
  • Analyzed symmetric equilibria to determine mask-wearing policies.

Main Results:

  • Identified a threshold structure for mask-wearing policies.
  • Demonstrated that individuals wear masks only when their perceived risk meets or exceeds a specific threshold.
  • Characterized the symmetric equilibria of the mask game.

Conclusions:

  • Mask adoption is governed by a threshold strategy based on individual risk perception.
  • Game theory provides a framework for understanding public health behaviors like mask-wearing.
  • The findings offer insights into promoting mask usage during health crises.