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Epidemic spreading with awareness diffusion on activity-driven networks

Acknowledging the significance of awareness diffusion and behavioral response in contagion outbreaks has been regarded as an indispensable prerequisite for a complete understanding of epidemic spreading. Recent studies from the research community have accumulated overwhelming evidence for the incess...

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Detalles Bibliográficos
Autores principales: Hu, Ping, Ding, Li, An, Xuming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Physical Society 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7217547/
http://dx.doi.org/10.1103/PhysRevE.98.062322
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author Hu, Ping
Ding, Li
An, Xuming
author_facet Hu, Ping
Ding, Li
An, Xuming
author_sort Hu, Ping
collection PubMed
description Acknowledging the significance of awareness diffusion and behavioral response in contagion outbreaks has been regarded as an indispensable prerequisite for a complete understanding of epidemic spreading. Recent studies from the research community have accumulated overwhelming evidence for the incessantly evolving structure of the underlying networks. Thus there is an impelling need to capture the interplay between the epidemic spreading and awareness diffusion on time-varying networks. In this paper, we consider a behavioral model in which susceptible individuals become alert and adopt a preventive behavior under the local risk perception characterized by a decision-making threshold. The impact of awareness diffusion on the epidemic threshold is investigated under the framework of activity-driven network. Results show that the local epidemic situation in risk perception and the duration of preventive effect are crucial for raising the epidemic threshold. The analytical results are corroborated by Monte Carlo simulations.
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spelling pubmed-72175472020-05-13 Epidemic spreading with awareness diffusion on activity-driven networks Hu, Ping Ding, Li An, Xuming Phys Rev E Articles Acknowledging the significance of awareness diffusion and behavioral response in contagion outbreaks has been regarded as an indispensable prerequisite for a complete understanding of epidemic spreading. Recent studies from the research community have accumulated overwhelming evidence for the incessantly evolving structure of the underlying networks. Thus there is an impelling need to capture the interplay between the epidemic spreading and awareness diffusion on time-varying networks. In this paper, we consider a behavioral model in which susceptible individuals become alert and adopt a preventive behavior under the local risk perception characterized by a decision-making threshold. The impact of awareness diffusion on the epidemic threshold is investigated under the framework of activity-driven network. Results show that the local epidemic situation in risk perception and the duration of preventive effect are crucial for raising the epidemic threshold. The analytical results are corroborated by Monte Carlo simulations. American Physical Society 2018-12-28 2018-12 /pmc/articles/PMC7217547/ http://dx.doi.org/10.1103/PhysRevE.98.062322 Text en ©2018 American Physical Society This article is made available via the PMC Open Access Subset for unrestricted re-use and analyses in any form or by any means with acknowledgement of the original source.
spellingShingle Articles
Hu, Ping
Ding, Li
An, Xuming
Epidemic spreading with awareness diffusion on activity-driven networks
title Epidemic spreading with awareness diffusion on activity-driven networks
title_full Epidemic spreading with awareness diffusion on activity-driven networks
title_fullStr Epidemic spreading with awareness diffusion on activity-driven networks
title_full_unstemmed Epidemic spreading with awareness diffusion on activity-driven networks
title_short Epidemic spreading with awareness diffusion on activity-driven networks
title_sort epidemic spreading with awareness diffusion on activity-driven networks
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7217547/
http://dx.doi.org/10.1103/PhysRevE.98.062322
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