The Effects of Diffusion of Information on Epidemic Spread -- A Multilayer Approach
Semra Gunduc

TL;DR
This study models the spread of disease and information on a multilayer network, showing how network topology and connectivity influence the effectiveness of information in controlling epidemics.
Contribution
It introduces a multilayer network model combining disease and information spread, analyzing how network structure affects epidemic control strategies.
Findings
Information spread can suppress epidemics under certain network conditions.
Increased complexity of contact networks reduces individual awareness impact.
Sparse contact networks enhance the role of information in epidemic control.
Abstract
In this work, the aim is to study the spread of a contagious disease and information on a multilayer social system. The main idea is to find a criterion under which the adoption of the spreading information blocks or suppresses the epidemic spread. A two-layer network is the base of the model. The first layer describes the direct contact interactions, while the second layer is the information propagation layer. Both layers consist of the same nodes. The society consists of five different categories of individuals: susceptibles, infective, recovered, vaccinated and precautioned. Initially, only one infected individual starts transmitting the infection. Direct contact interactions spread the infection to the susceptibles. The information spreads through the second layer. The SIR model is employed for the infection spread, while the Bass equation models the adoption of information. The…
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