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Epidemic reemergence in adaptive complex networks
1Division of Communication Engineering, School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798.
Summary
Epidemic reemergence, characterized by prolonged incubation and sudden outbreaks, occurs in growing networks where nodes break connections with infected individuals. Network growth, connection breaking, and isolation avoidance are crucial for this phenomenon.
Area of Science:
- Complex Systems
- Epidemiology
- Network Science
Background:
- Dynamical systems exhibit complex epidemic spreading behaviors like oscillation and bistability.
- Understanding epidemic dynamics in adaptive networks is crucial for public health.
Purpose of the Study:
- To investigate epidemic spreading in growing networks with adaptive connection breaking.
- To reveal and explain the phenomenon of epidemic reemergence.
Main Methods:
- Simulations of epidemic spreading in growing networks.
- Analysis of adaptive connection breaking and isolation avoidance strategies.
- Theoretical modeling to explain epidemic reemergence dynamics.
Main Results:
- Identified epidemic reemergence: prolonged low-level infection followed by rapid outbreaks.
- Demonstrated that network growth, connection breaking, and isolation avoidance are all necessary for reemergence.
- Observed that the reemergence process can repeat multiple times.
Conclusions:
- Epidemic reemergence is a novel phenomenon in adaptive growing networks.
- The interplay of network dynamics and individual behavior drives complex epidemic patterns.
- Findings offer insights into repeated epidemic explosions and inform control strategies.
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