Epidemic model with isolation in multilayer networks

The Susceptible-Infected-Recovered ($SIR$) model has successfully mimicked the propagation of such airborne diseases as influenza A (H1N1). Although the $SIR$ model has recently been studied in a multilayer networks configuration, in almost all the research the isolation of infected individuals is d...

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Detalhes bibliográficos
Autores: Alvarez Zuzek, Lucila Gisele, Stanley, H. E., Braunstein, L. A.
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2015
País:Argentina
Recursos:Consejo Nacional de Investigaciones Científicas y Técnicas
Repositorio:CONICET Digital (CONICET)
Idioma:inglés
OAI Identifier:oai:ri.conicet.gov.ar:11336/8221
Acesso em linha:http://hdl.handle.net/11336/8221
Access Level:acceso abierto
Palavra-chave:Complex Netorks
Multilayer Networks
Epidemic Models
Percolation
https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
Descrição
Resumo:The Susceptible-Infected-Recovered ($SIR$) model has successfully mimicked the propagation of such airborne diseases as influenza A (H1N1). Although the $SIR$ model has recently been studied in a multilayer networks configuration, in almost all the research the isolation of infected individuals is disregarded. Hence we focus our study in an epidemic model in a two-layer network, and we use an isolation parameter $w$ to measure the effect of quarantining infected individuals from both layers during an isolation period $t_w$. We call this process the Susceptible-Infected-Isolated-Recovered ($SI_IR$) model. Using the framework of link percolation we find that isolation reduces the critical epidemic threshold of the disease because} the time in which infection can spread is reduced. In this scenario we find that this threshold increases with w and t_w. When the isolation period is maximum there is a critical threshold for $w$ above which the disease never becomes an epidemic. We also find that epidemic models, like $SIR$ overestimate the critical epidemic threshold. We simulate the process and found an excellent agreement with the theoretical results.