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Self-isolation.

Dominique Baril-Tremblay1, Chantal Marlats2, Lucie Ménager2

  • 1Paris School of Economics, Université Paris 1, France.

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Summary
This summary is machine-generated.

Individuals strategically balance social interaction and self-isolation when facing infectious diseases. The unique equilibrium shows partial self-isolation, informing public health policies for epidemics like COVID-19.

Keywords:
COVID-19 epidemicSIR modelSelf-isolation

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Area of Science:

  • Epidemiology
  • Behavioral Economics
  • Mathematical Modeling

Background:

  • Infectious disease spread is influenced by individual behavior.
  • Asymptomatic transmission poses challenges for disease control.
  • Individuals' decisions to isolate depend on perceived risk and type.

Purpose of the Study:

  • To model strategic self-isolation in infectious disease dynamics.
  • To analyze the impact of asymptomatic and severe disease types on social interaction.
  • To identify equilibrium behavior and inform public policy.

Main Methods:

  • Game theory framework to model individual decision-making.
  • Analysis of strategic interaction between self-interested agents.
  • Calibration to COVID-19 data and simulation of epidemic dynamics.

Main Results:

  • All equilibria involve some level of social interaction.
  • A unique equilibrium with partial self-isolation at each time step was identified.
  • Model simulations illustrate the effects of different public policies.

Conclusions:

  • Individual strategic choices significantly shape epidemic trajectories.
  • Understanding the tradeoff between interaction and isolation is crucial for managing infectious diseases.
  • The model provides insights into policy interventions for pandemics.