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Spreading processes on heterogeneous active systems: Spreading threshold, immunization strategies, and vaccination
Benjamín Marcolongo1, Gustavo J Sibona1, Fernando Peruani2
1Universidad Nacional de Córdoba, IFEG - CONICET and FaMAF - , Córdoba, Argentina.
Spreading processes in heterogeneous active agent systems are analyzed. Results show targeted vaccination is effective, unlike random strategies, and vaccination can alter outbreak size.
Area of Science:
- Complex Systems
- Statistical Physics
- Network Science
Background:
- Spreading phenomena are crucial in various systems.
- Heterogeneity in agent activity impacts spreading dynamics.
- Understanding these dynamics is key for control strategies.
Purpose of the Study:
- To analyze spreading processes in 2D systems with heterogeneous active agents.
- To derive an analytical expression for the spreading threshold.
- To evaluate the effectiveness of different vaccination strategies.
Main Methods:
- Combination of kinetic theory and complex network theory.
- Analysis of active speed distribution moments.
- Modeling of random and targeted vaccination strategies.
Main Results:
- An analytical spreading threshold expression was derived, dependent on the first and second moments of active speed distribution.
- Spreading is possible even with a vanishing average active speed.
- Targeted vaccination is effective, while random vaccination is not.
- Vaccination can act as quenched noise, influencing outbreak size.
Conclusions:
- Heterogeneity significantly impacts spreading thresholds and control strategies.
- Targeted interventions are crucial for managing spreading in active agent systems.
- Vaccination's dual role as noise offers new perspectives on outbreak control.
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