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August 8, 2026AutomaticaOpen Access

Network behavioral-feedback SIR epidemic model

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Authors

MAMartina AluttoLCLeonardo CianfanelliGCGiacomo Como

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Overview

Randomized trial demonstrates effective epidemic control strategies in subpopulations, suggesting behavioral responses impact infection rates.

Key Points

  • The aim is to develop an SIR epidemic model incorporating behavioral feedback to understand infection dynamics.
  • Proposed a feedback-based interaction matrix affecting infection rates across subpopulations.
  • Analyzed the stability of equilibrium points coinciding with disease-free states.
  • Illustrated transient dynamics using rank-1 interaction matrices to show unimodal infection curves.
  • Equilibrium points align with disease-free states, indicating certain stability behavior.
  • Structure of the interaction matrix significantly influences the shape of stable equilibrium points.
  • Demonstrated unimodal infection curves exist under specific conditions, supporting future epidemic control applications.

Cite This Study

Alutto et al. (2026) studied this question.

synapsesocial.com/papers/6a76da3bf12abadc798147cchttps://doi.org/10.1016/j.automatica.2026.113220
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