Influence of Information Blocking on the Spread of Virus in Multilayer Networks
Paulina W\k{a}troba, Piotr Br\'odka
TL;DR
This study models how information blocking impacts virus transmission in multilayer networks, revealing that restricting information can alter epidemic dynamics and peak timing during pandemics.
Contribution
The paper introduces a model of disease and information spread interaction in multilayer networks, specifically analyzing the effects of information blocking during the SARS-CoV-2 pandemic.
Findings
Information blocking delays epidemic peak
Reduces the total number of infected individuals
Affects the speed of virus spread
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.
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