A simple and efficient model for epidemic control on multiplex networks
Minsuk Kim, Soon-Hyung Yook

TL;DR
This paper introduces a preemptive isolation strategy on multiplex networks that significantly reduces epidemic spread, offering a practical non-pharmaceutical intervention for diseases with complex transmission routes.
Contribution
It proposes a novel preemptive isolation protocol targeting second nearest neighbors on multiplex networks, improving epidemic control over existing strategies.
Findings
Preemptive isolation reduces epidemic size.
The protocol decreases the number of isolated individuals per unit time.
Effective even with partial contact tracing.
Abstract
When an unprecedented infectious disease with high mortality and transmissibility emerges, immediate usage of vaccines or medicines is hardly available. Thus, many health authorities rely on non-pharmaceutical interventions through traceable fixed contacts. However, in reality, there is an additional type of transmission routes to the regular and fixed contacts: the random anonymous infection cases where non-pharmaceutical interventions are hardly feasible. In our study, such realistic situations are implemented by the susceptible-infected-recovered model with isolation on multiplex networks. The multiplex networks are composed of a fixed interaction layer and a layer with time-varying random interactions to represent the different types of disease spreading routes. The multiplex networks represent the combinations of the quenched disorder and annealed disorder. Here, we suggest a…
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Taxonomy
TopicsComplex Network Analysis Techniques · Opinion Dynamics and Social Influence · COVID-19 epidemiological studies
