About: Impact of asymptomatic infection on coupled disease-behavior dynamics in complex networks

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Impact of asymptomatic infection on coupled disease-behavior dynamics in complex networks
Creator	Small, Michael Zhang, Hai-Feng Liu, Can Xie, Jia-Rong Chen, Han-Shuang
source	ArXiv
abstract	Studies on how to model the interplay between diseases and behavioral responses (so-called coupled disease-behavior interaction) have attracted increasing attention. Owing to the lack of obvious clinical evidence of diseases, or the incomplete information related to the disease, the risks of infection cannot be perceived and may lead to inappropriate behavioral responses. Therefore, how to quantitatively analyze the impacts of asymptomatic infection on the interplay between diseases and behavioral responses is of particular importance. In this Letter, under the complex network framework, we study the coupled disease-behavior interaction model by dividing infectious individuals into two states: U-state (without evident clinical symptoms, labelled as U) and I-state (with evident clinical symptoms, labelled as I). A susceptible individual can be infected by U- or I-nodes, however, since the U-nodes cannot be easily observed, susceptible individuals take behavioral responses /emph{only} when they contact I-nodes. The mechanism is considered in the improved Susceptible-Infected-Susceptible (SIS) model and the improved Susceptible-Infected-Recovered (SIR) model, respectively. Then, one of the most concerned problems in spreading dynamics: the epidemic thresholds for the two models are given by two methods. The analytic results /emph{quantitatively} describe the influence of different factors, such as asymptomatic infection, the awareness rate, the network structure, and so forth, on the epidemic thresholds. Moreover, because of the irreversible process of the SIR model, the suppression effect of the improved SIR model is weaker than the improved SIS model.
has issue date	2016-08-14(xsd:dateTime)
bibo:doi	10.1209/0295-5075/114/38004
has license	arxiv
sha1sum (hex)	ad4d9c9d9590641b33f6e5b4daa6f6520006a7d6
schema:url	https://doi.org/10.1209/0295-5075/114/38004
resource representing a document's title	Impact of asymptomatic infection on coupled disease-behavior dynamics in complex networks
resource representing a document's body	covid:ad4d9c9d9590641b33f6e5b4daa6f6520006a7d6#body_text
is schema:about of	named entity 'NODES' named entity 'clinical symptoms' named entity 'clinical symptoms' named entity 'network structure' named entity 'asymptomatic infection' »more»

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