Influence of Information Blocking on the Spread of Virus in Multilayer Networks

Abstract

In this paper, we present the model of the interaction between the spread of disease and the spread of information about the disease in multilayer networks. Next, based on the characteristics of the SARS-COV-2 virus pandemic, we evaluated the influence of information blocking on the virus spread. Our results show that blocking the spread of information affects the speed at which the epidemic peak appears in our society and the number of infected individuals.

References in corpus (7)

• Thresholds for epidemic spreading in networks
• Emergence of network features from multiplexity
• Susceptible-Infected-Recovered (SIR) Dynamics of COVID-19 and Economic Impact
• Epidemic Model with Isolation in Multilayer Networks
• Operational Framework for Recent Advances in Backtracking Search Optimisation Algorithm: A Systematic Review and Performance Evaluation
• A simple Stochastic SIR model for COVID 19 Infection Dynamics for Karnataka: Learning from Europe
• Immunization Dynamics on a 2-layer Network Model

Cited by in corpus (2)

• Rank-Refining Seed Selection Methods for Budget Constrained Influence Maximisation in Multilayer Networks under Linear Threshold Model
• Network Diffusion -- Framework to Simulate Spreading Processes in Complex Networks