Cargando…
Stability behavior of a two-susceptibility SHIR epidemic model with time delay in complex networks
Taking two susceptible groups into account, we formulate a modified subhealthy-healthy-infected-recovered (SHIR) model with time delay and nonlinear incidence rate in networks with different topologies. Concretely, two dynamical systems are designed in homogeneous and heterogeneous networks by utili...
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8404413/ https://www.ncbi.nlm.nih.gov/pubmed/34483481 http://dx.doi.org/10.1007/s11071-021-06804-6 |
_version_ | 1783746163050020864 |
---|---|
author | Guan, Gui Guo, Zhenyuan |
author_facet | Guan, Gui Guo, Zhenyuan |
author_sort | Guan, Gui |
collection | PubMed |
description | Taking two susceptible groups into account, we formulate a modified subhealthy-healthy-infected-recovered (SHIR) model with time delay and nonlinear incidence rate in networks with different topologies. Concretely, two dynamical systems are designed in homogeneous and heterogeneous networks by utilizing mean field equations. Based on the next-generation matrix and the existence of a positive equilibrium point, we derive the basic reproduction numbers [Formula: see text] and [Formula: see text] which depend on the model parameters and network structure. In virtue of linearized systems and Lyapunov functions, the local and global stabilities of the disease-free equilibrium points are, respectively, analyzed when [Formula: see text] in homogeneous networks and [Formula: see text] in heterogeneous networks. Besides, we demonstrate that the endemic equilibrium point is locally asymptotically stable in homogeneous networks in the condition of [Formula: see text] . Finally, numerical simulations are performed to conduct sensitivity analysis and confirm theoretical results. Moreover, some conjectures are proposed to complement dynamical behavior of two systems. |
format | Online Article Text |
id | pubmed-8404413 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-84044132021-08-30 Stability behavior of a two-susceptibility SHIR epidemic model with time delay in complex networks Guan, Gui Guo, Zhenyuan Nonlinear Dyn Original Paper Taking two susceptible groups into account, we formulate a modified subhealthy-healthy-infected-recovered (SHIR) model with time delay and nonlinear incidence rate in networks with different topologies. Concretely, two dynamical systems are designed in homogeneous and heterogeneous networks by utilizing mean field equations. Based on the next-generation matrix and the existence of a positive equilibrium point, we derive the basic reproduction numbers [Formula: see text] and [Formula: see text] which depend on the model parameters and network structure. In virtue of linearized systems and Lyapunov functions, the local and global stabilities of the disease-free equilibrium points are, respectively, analyzed when [Formula: see text] in homogeneous networks and [Formula: see text] in heterogeneous networks. Besides, we demonstrate that the endemic equilibrium point is locally asymptotically stable in homogeneous networks in the condition of [Formula: see text] . Finally, numerical simulations are performed to conduct sensitivity analysis and confirm theoretical results. Moreover, some conjectures are proposed to complement dynamical behavior of two systems. Springer Netherlands 2021-08-30 2021 /pmc/articles/PMC8404413/ /pubmed/34483481 http://dx.doi.org/10.1007/s11071-021-06804-6 Text en © The Author(s), under exclusive licence to Springer Nature B.V. 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Paper Guan, Gui Guo, Zhenyuan Stability behavior of a two-susceptibility SHIR epidemic model with time delay in complex networks |
title | Stability behavior of a two-susceptibility SHIR epidemic model with time delay in complex networks |
title_full | Stability behavior of a two-susceptibility SHIR epidemic model with time delay in complex networks |
title_fullStr | Stability behavior of a two-susceptibility SHIR epidemic model with time delay in complex networks |
title_full_unstemmed | Stability behavior of a two-susceptibility SHIR epidemic model with time delay in complex networks |
title_short | Stability behavior of a two-susceptibility SHIR epidemic model with time delay in complex networks |
title_sort | stability behavior of a two-susceptibility shir epidemic model with time delay in complex networks |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8404413/ https://www.ncbi.nlm.nih.gov/pubmed/34483481 http://dx.doi.org/10.1007/s11071-021-06804-6 |
work_keys_str_mv | AT guangui stabilitybehaviorofatwosusceptibilityshirepidemicmodelwithtimedelayincomplexnetworks AT guozhenyuan stabilitybehaviorofatwosusceptibilityshirepidemicmodelwithtimedelayincomplexnetworks |