SEIRS model for virus spreading with time delay

In view of the latent characteristic of virus, the escaped state is considered in the model of virus spreading and employed to describe the state of nodes that are infected but not activated. A novelSusceptible–Escaped–Infected–Removed–Susceptible (SEIRS) model with delay is presented for virus spre...

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Main Authors: Lu Shi-wei, Wang Gang, Chen Tong-rui, Ma Run-nian
Format: Article
Language:English
Published: EDP Sciences 2018-01-01
Series:MATEC Web of Conferences
Online Access:https://doi.org/10.1051/matecconf/201817302042
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author Lu Shi-wei
Wang Gang
Chen Tong-rui
Ma Run-nian
author_facet Lu Shi-wei
Wang Gang
Chen Tong-rui
Ma Run-nian
author_sort Lu Shi-wei
collection DOAJ
description In view of the latent characteristic of virus, the escaped state is considered in the model of virus spreading and employed to describe the state of nodes that are infected but not activated. A novelSusceptible–Escaped–Infected–Removed–Susceptible (SEIRS) model with delay is presented for virus spreading based on the escaped mechanism. In the proposed model, time delay, as an important factor, is considered in the infection stage, as well as the node degree of network. Thereafter, system dynamics equations are derived for the model, and the stable condition of the system is investigated via the criterion of Routh-Hurwitz stability. Finally, simulations are demonstrated to illustrate the proposedmodel and its performance.
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spelling doaj.art-2cf6c72c6d4a41e9b4c166fe5b6d33722022-12-21T23:01:11ZengEDP SciencesMATEC Web of Conferences2261-236X2018-01-011730204210.1051/matecconf/201817302042matecconf_smima2018_02042SEIRS model for virus spreading with time delayLu Shi-weiWang GangChen Tong-ruiMa Run-nianIn view of the latent characteristic of virus, the escaped state is considered in the model of virus spreading and employed to describe the state of nodes that are infected but not activated. A novelSusceptible–Escaped–Infected–Removed–Susceptible (SEIRS) model with delay is presented for virus spreading based on the escaped mechanism. In the proposed model, time delay, as an important factor, is considered in the infection stage, as well as the node degree of network. Thereafter, system dynamics equations are derived for the model, and the stable condition of the system is investigated via the criterion of Routh-Hurwitz stability. Finally, simulations are demonstrated to illustrate the proposedmodel and its performance.https://doi.org/10.1051/matecconf/201817302042
spellingShingle Lu Shi-wei
Wang Gang
Chen Tong-rui
Ma Run-nian
SEIRS model for virus spreading with time delay
MATEC Web of Conferences
title SEIRS model for virus spreading with time delay
title_full SEIRS model for virus spreading with time delay
title_fullStr SEIRS model for virus spreading with time delay
title_full_unstemmed SEIRS model for virus spreading with time delay
title_short SEIRS model for virus spreading with time delay
title_sort seirs model for virus spreading with time delay
url https://doi.org/10.1051/matecconf/201817302042
work_keys_str_mv AT lushiwei seirsmodelforvirusspreadingwithtimedelay
AT wanggang seirsmodelforvirusspreadingwithtimedelay
AT chentongrui seirsmodelforvirusspreadingwithtimedelay
AT marunnian seirsmodelforvirusspreadingwithtimedelay