• Corpus ID: 227228064

Optimal Quarantining Strategy for Interdependent Epidemics Spreading over Complex Networks

  title={Optimal Quarantining Strategy for Interdependent Epidemics Spreading over Complex Networks},
  author={Juntao Chen and Yunhan Huang and Rui Zhang and Quanyan Zhu},
Optimal quarantining strategy of suppressing interdependent epidemics spreading over complex networks is a critical issue. In this paper, we first establish a framework to capture the coupling between two epidemics, and then analyze the system's equilibrium states by categorizing them into three classes, and deriving their stability conditions. The designed quarantining strategy globally optimizes the trade-off between the quarantining cost and the severity of epidemics in the network. In… 

Figures from this paper

Understanding the Interplay Between Herd Behaviors and Epidemic Spreading Using Federated Evolutionary Games

A federated evolutionary game-theoretic framework to study the coupling of herd behaviors changes and epidemics spreading, which extends the classical degree-based mean-field epidemic model over complex networks by integrating it with the evolutionary game dynamics.

Herd Behaviors in Epidemics: A Dynamics-Coupled Evolutionary Games Approach

This paper proposes an evolutionary game-theoretic framework to study the coupled evolutions of herd behaviors and epidemics, and extends the classical degree-based mean-field epidemic model over complex networks by coupling it with the evolutionary game dynamics.

A Novel Metric to Quantify the Real-Time Robustness of Complex Networks With Respect to Epidemic Models

Spread velocity, epidemic threshold, and infection density at steady state are three non-negligible features describing the spread of epidemics. Combining these three features together, a new network

A games-in-games approach to mosaic command and control design of dynamic network-of-networks for secure and resilient multi-domain operations

This paper presents a games-in-games approach to provide design guidelines for mosaic command and control that enables the secure and resilient multi-domain operations and provides a system-of-systems science for mosaic distributed design of large-scale systems.

The Confluence of Networks, Games and Learning

An selective overview of game-theoretic learning algorithms within the framework of stochastic approximation theory, and associated applications in some representative contexts of modern network systems, such as the next generation wireless communication networks, the smart grid and distributed machine learning.



Optimal Resource Allocation for Control of Networked Epidemic Models

This paper proposes and analyzes a generalized epidemic model over arbitrary directed graphs with heterogeneous nodes. The proposed model, called the generalized–susceptible exposed infected

Optimal vaccine allocation to control epidemic outbreaks in arbitrary networks

A convex framework to find cost-optimal distribution of vaccination resources when different levels of vaccination are allowed is proposed to find the optimal distribution of vaccines throughout the network to control the spread of an epidemic outbreak.

On the dynamical interplay between awareness and epidemic spreading in multiplex networks

The analysis of the interrelation between two processes accounting for the spreading of an epidemic, and the information awareness to prevent its infection, on top of multiplex networks reveals the phase diagram of the incidence of the epidemics and allows the evolution of the epidemic threshold depending on the topological structure of the multiplex and the inter correlation with the awareness process.

Decentralized Protection Strategies Against SIS Epidemics in Networks

This paper considers decentralized optimal protection strategies when a virus is propagating over a network through an SIS epidemic process, and proposes a decentralized algorithm and an iterative procedure to compute a pure equilibrium in the general case of a multiple communities network.

A Differential Game Approach to Decentralized Virus-Resistant Weight Adaptation Policy Over Complex Networks

This paper uses a susceptible–infected–susceptible epidemic model to capture the virus spreading process and develops a virus-resistant weight adaptation scheme to mitigate the spreading over the network, and proposes a differential game framework to provide a theoretic underpinning for decentralized mitigation.

Optimal control of epidemic evolution

A unifying framework that models the interactions of the control and the elements in systems with epidemic behavior, including non-replicative and replicative dissemination of messages in a network is constructed.

Analysis and Control of a Continuous-Time Bi-Virus Model

Sensitivity properties of some nontrivial equilibria are investigated in the context of a decentralized control technique, and an impossibility result is given for a certain type of distributed feedback controller.

Competing epidemics on complex networks

  • B. KarrerM. Newman
  • Economics
    Physical review. E, Statistical, nonlinear, and soft matter physics
  • 2011
A model of two competing diseases spreading over the same network at the same time, where infection with either disease gives an individual subsequent immunity to both, is examined.

Epidemic processes in complex networks

A coherent and comprehensive review of the vast research activity concerning epidemic processes is presented, detailing the successful theoretical approaches as well as making their limits and assumptions clear.

Virus Propagation on Time-Varying Networks: Theory and Immunization Algorithms

This paper derives the first closed formula for the epidemic threshold of time-varying graphs under the SIS model, and shows the usefulness of the threshold by presenting efficient heuristics and evaluating the effectiveness of the methods on synthetic and real data like the MIT reality mining graphs.