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The Impact of Heterogeneity and Awareness in Modeling Epidemic Spreading on Multiplex Networks.

Published version
Peer-reviewed

Type

Article

Change log

Authors

Scatà, M 
Di Stefano, Alessandro  ORCID logo  https://orcid.org/0000-0003-4905-3309
Liò, P 
La Corte, A 

Abstract

In the real world, dynamic processes involving human beings are not disjoint. To capture the real complexity of such dynamics, we propose a novel model of the coevolution of epidemic and awareness spreading processes on a multiplex network, also introducing a preventive isolation strategy. Our aim is to evaluate and quantify the joint impact of heterogeneity and awareness, under different socioeconomic conditions. Considering, as case study, an emerging public health threat, Zika virus, we introduce a data-driven analysis by exploiting multiple sources and different types of data, ranging from Big Five personality traits to Google Trends, related to different world countries where there is an ongoing epidemic outbreak. Our findings demonstrate how the proposed model allows delaying the epidemic outbreak and increasing the resilience of nodes, especially under critical economic conditions. Simulation results, using data-driven approach on Zika virus, which has a growing scientific research interest, are coherent with the proposed analytic model.

Description

Keywords

Awareness, Female, Humans, Male, Models, Biological, Zika Virus, Zika Virus Infection

Journal Title

Scientific Reports

Conference Name

Journal ISSN

2045-2322
2045-2322

Volume Title

6

Publisher

Nature Publishing Group
Sponsorship
This work was partially supported by the following Research Grant: Italian Ministry of University and Research - MIUR “Programma Operativo Nazionale Ricerca e Competitività 2007–2013” within the project “PON-03PE-00132-1” - Servify.