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Spreading of two interacting diseases in multiplex networks
1College of Mathematics and Information Science, Jiangxi Normal University, Jiangxi 330022, China.
Chaos (Woodbury, N.Y.)
|August 6, 2020
Summary
Analyzing two interacting diseases on multiplex networks, we found network overlap minimally impacts epidemic spread. Our model provides a framework for understanding disease dynamics in complex interconnected systems.
Area of Science:
- Epidemiology
- Network Science
- Mathematical Biology
Background:
- Understanding disease interactions on complex networks is crucial for public health.
- Multiplex networks, with multiple layers of connections, offer a more realistic representation of disease transmission.
- Previous models often simplify disease interactions or network structures.
Purpose of the Study:
- To develop and analyze a model for the interacting dynamics of two diseases on multiplex networks.
- To investigate the conditions for disease outbreaks and the influence of network properties.
- To provide an analytical framework for multi-disease spread in complex systems.
Main Methods:
- Derivation of a discrete-time individual-based probability model.
- Bifurcation analysis of equilibrium points to determine outbreak conditions.
- Discrete-time stochastic simulations on scale-free networks.
Main Results:
- Theoretical predictions align well with simulation results.
- Network overlap shows minimal effect on epidemic threshold and prevalence.
- The epidemic threshold is not dependent on all system parameters.
Conclusions:
- The developed analytical framework accurately models multi-disease spread on multiplex networks.
- Network overlap is not a significant factor in the studied epidemic dynamics.
- Further research can explore other network structures and disease interaction types.
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