The Impact of Heterogeneity and Awareness in Modeling Epidemic Spreading on Multiplex Networks.
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Scatà, M., Di Stefano, A., Lio, P., & La Corte, A. (2016). The Impact of Heterogeneity and Awareness in Modeling Epidemic Spreading on Multiplex Networks.. Scientific Reports, 6 (37105), 1-13. https://doi.org/10.1038/srep37105
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.
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.
External DOI: https://doi.org/10.1038/srep37105
This record's URL: https://www.repository.cam.ac.uk/handle/1810/262510
Attribution 4.0 International, Attribution 4.0 International, Attribution 4.0 International, Attribution 4.0 International, Attribution 4.0 International
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