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Heterogeneous risk tolerance, in-groups, and epidemic waves.

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Summary
This summary is machine-generated.

Understanding disease dynamics requires modeling health beliefs. This study models risk perception and in-group pressure, finding behavioral responses impact epidemic severity, with high protection levels potentially causing multiple waves.

Keywords:
behavior-disease dynamicsheterogeneityin-group pressurerisk tolerancestandard of evidence

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Area of Science:

  • Epidemiology
  • Behavioral Science
  • Mathematical Modeling

Background:

  • Growing interest in jointly modeling disease dynamics with health beliefs.
  • Coupling mechanisms between disease spread and public perception remain poorly understood.
  • Need for models incorporating risk information interpretation and social influences.

Purpose of the Study:

  • To introduce a novel model for disease dynamics incorporating risk information and social influences.
  • To investigate the impact of behavioral responses to risk information on epidemic severity.
  • To explore how population heterogeneity in behavioral responses affects epidemic outcomes.

Main Methods:

  • Developed a model with delayed risk information (historical and predicted).
  • Included an interpretation domain influenced by in-group pressure.
  • Simulated epidemic severity (peak size, waves, final size) based on behavioral reaction strength.
  • Modeled heterogeneity in population response profiles.

Main Results:

  • Behavioral response is ineffective below 50% protection; multiple waves emerge at 75%+ protection.
  • Epidemic outcomes can be non-monotonic with the strength of behavioral reaction.
  • Population heterogeneity in response profiles can reduce epidemic peak size.

Conclusions:

  • Behavioral responses and social dynamics significantly influence epidemic trajectories.
  • The effectiveness of prophylactic behaviors is highly dependent on the level of protection offered.
  • Heterogeneity in population responses may offer a pathway to mitigating epidemic severity.