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Development of a behavioural modulation strategy for disease control based on network interventions.

Hanqi Zhang1, Zhongkui Sun1, Nannan Zhao2

  • 1Northwestern Polytechnical University, Xi'an, Shaanxi, People's Republic of China.

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|November 27, 2025
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Incorporating human behavior into disease interventions is key for controlling COVID-19. This study shows network-based behavioral modulation effectively reduces disease spread and can be cost-effective.

Keywords:
behavioural epidemiologyevolutionary gamemicroscopic Markov chainmultiplex networksnetwork intervention

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Area of Science:

  • Epidemiology
  • Behavioral Science
  • Network Science

Background:

  • Human behavior evolution presents a significant challenge in controlling infectious diseases like COVID-19.
  • Integrating behavioral factors into disease intervention strategies is crucial for effective public health management.
  • Current control measures often overlook the dynamic interplay between individual behavior and disease transmission.

Purpose of the Study:

  • To propose and evaluate a novel behavioral modulation strategy for population-level disease prevention.
  • To investigate the efficacy of modulating behavior in 'seed nodes' within a network intervention framework.
  • To explore the relationship between intervention costs and disease control outcomes.

Main Methods:

  • Development of a coupled behavior-disease model to simulate disease transmission dynamics.
  • Application of network intervention strategies focused on behavioral modulation of specific individuals (seed nodes).
  • Analysis using epidemic threshold and infection density as key performance indicators, validated with real-world network data.

Main Results:

  • Behavioral modulation, integrated with network interventions, significantly controls disease transmission.
  • Identified an optimal range for intervention proportions that balances epidemic control with cost-effectiveness.
  • Simulations using real-world contact network data confirmed the model's effectiveness.

Conclusions:

  • Behavioral modulation offers a valuable, behavior-centric approach to disease control.
  • The findings provide practical guidance for public health policy development in epidemic prevention.
  • Optimizing intervention strategies can lead to both effective disease containment and resource efficiency.