Analysis and Control of Epidemics: A survey of spreading processes on complex networks

Abstract

This article reviews and presents various solved and open problems in the development, analysis, and control of epidemic models. We are interested in presenting a relatively concise report for new engineers looking to enter the field of spreading processes on complex networks.

References in corpus (20)

• Epidemic spreading in scale-free networks
• Epidemic processes in complex networks
• The spread of epidemic disease on networks
• Attack vulnerability of complex networks
• Epidemic dynamics and endemic states in complex networks
• Threshold effects for two pathogens spreading on a network
• Towards a characterization of behavior-disease models
• Analysis of complex contagions in random multiplex networks
• Suppressing Epidemics with a Limited Amount of Immunization Units
• In-homogeneous Virus Spread in Networks
• Vaccination intervention on epidemic dynamics in networks
• A Convex Framework for Optimal Investment on Disease Awareness in Social Networks
• Optimal Vaccine Allocation to Control Epidemic Outbreaks in Arbitrary Networks
• Exact Markovian SIR and SIS epidemics on networks and an upper bound for the epidemic threshold
• Decay towards the overall-healthy state in SIS epidemics on networks
• Distributed Resource Allocation for Epidemic control
• Exponential extinction time of the contact process on finite graphs
• Data-Driven Allocation of Vaccines for Controlling Epidemic Outbreaks
• Worst-Case Scenarios for Greedy, Centrality-Based Network Protection Strategies
• Information Spreading on Almost Torus Networks

Cited by in corpus (16)

• Optimal Containment of Epidemics in Temporal and Adaptive Networks
• Forecasting Time Series with VARMA Recursions on Graphs
• Leveraging local h-index to identify and rank influential spreaders in networks
• Data-Driven Methods for Present and Future Pandemics: Monitoring, Modelling and Managing
• Interacting spreading processes in multilayer networks
• Cyber-Social Systems: Modeling, Inference, and Optimal Design
• A mean-field analysis of a network behavioural-epidemic model
• Optimal adaptive testing for epidemic control: combining molecular and serology tests
• Bifurcation analysis of the Microscopic Markov Chain Approach to contact-based epidemic spreading in networks
• Analysis of Exact and Approximated Epidemic Models over Complex Networks
• Sensor Selection Cost Optimization for Tracking Structurally Cyclic Systems: a P-Order Solution
• GAEA: Graph Augmentation for Equitable Access via Reinforcement Learning
• Mitigating Biological Epidemic on Heterogeneous Social Networks
• Exploiting Anonymity in Approximate Linear Programming: Scaling to Large Multiagent MDPs (Extended Version)
• Transfer Learning for Node Regression Applied to Spreading Prediction
• A hospital demand and capacity intervention approach for COVID-19 in the UK