Stability and bifurcation analysis of SIQR for the COVID-19 epidemic model with time delay

Based on the SIQR model, we consider the influence of time delay from infection to isolation and present a delayed differential equation (DDE) according to the characteristics of the COVID-19 epidemic phenomenon. First, we consider the existence and stability of equilibria in the above delayed SIQR...

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Autores principales: Shishi Wang, Yuting Ding, Hongfan Lu, Silin Gong
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Publicado: AIMS Press 2021
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spelling oai:doaj.org-article:b305a294727e4a0cac3dcf1351f963e32021-11-09T02:18:38ZStability and bifurcation analysis of SIQR for the COVID-19 epidemic model with time delay10.3934/mbe.20212781551-0018https://doaj.org/article/b305a294727e4a0cac3dcf1351f963e32021-06-01T00:00:00Zhttps://www.aimspress.com/article/doi/10.3934/mbe.2021278?viewType=HTMLhttps://doaj.org/toc/1551-0018Based on the SIQR model, we consider the influence of time delay from infection to isolation and present a delayed differential equation (DDE) according to the characteristics of the COVID-19 epidemic phenomenon. First, we consider the existence and stability of equilibria in the above delayed SIQR model. Second, we analyze the existence of Hopf bifurcations associated with two equilibria, and we verify that Hopf bifurcations occur as delays crossing some critical values. Then, we derive the normal form for Hopf bifurcation by using the multiple time scales method for determining the stability and direction of bifurcation periodic solutions. Finally, numerical simulations are carried out to verify the analytic results.Shishi WangYuting Ding Hongfan Lu Silin GongAIMS Pressarticlecovid-19 epidemic modeltime delayhopf bifurcationnormal formmultiple time scalesBiotechnologyTP248.13-248.65MathematicsQA1-939ENMathematical Biosciences and Engineering, Vol 18, Iss 5, Pp 5505-5524 (2021)
institution DOAJ
collection DOAJ
language EN
topic covid-19 epidemic model
time delay
hopf bifurcation
normal form
multiple time scales
Biotechnology
TP248.13-248.65
Mathematics
QA1-939
spellingShingle covid-19 epidemic model
time delay
hopf bifurcation
normal form
multiple time scales
Biotechnology
TP248.13-248.65
Mathematics
QA1-939
Shishi Wang
Yuting Ding
Hongfan Lu
Silin Gong
Stability and bifurcation analysis of SIQR for the COVID-19 epidemic model with time delay
description Based on the SIQR model, we consider the influence of time delay from infection to isolation and present a delayed differential equation (DDE) according to the characteristics of the COVID-19 epidemic phenomenon. First, we consider the existence and stability of equilibria in the above delayed SIQR model. Second, we analyze the existence of Hopf bifurcations associated with two equilibria, and we verify that Hopf bifurcations occur as delays crossing some critical values. Then, we derive the normal form for Hopf bifurcation by using the multiple time scales method for determining the stability and direction of bifurcation periodic solutions. Finally, numerical simulations are carried out to verify the analytic results.
format article
author Shishi Wang
Yuting Ding
Hongfan Lu
Silin Gong
author_facet Shishi Wang
Yuting Ding
Hongfan Lu
Silin Gong
author_sort Shishi Wang
title Stability and bifurcation analysis of SIQR for the COVID-19 epidemic model with time delay
title_short Stability and bifurcation analysis of SIQR for the COVID-19 epidemic model with time delay
title_full Stability and bifurcation analysis of SIQR for the COVID-19 epidemic model with time delay
title_fullStr Stability and bifurcation analysis of SIQR for the COVID-19 epidemic model with time delay
title_full_unstemmed Stability and bifurcation analysis of SIQR for the COVID-19 epidemic model with time delay
title_sort stability and bifurcation analysis of siqr for the covid-19 epidemic model with time delay
publisher AIMS Press
publishDate 2021
url https://doaj.org/article/b305a294727e4a0cac3dcf1351f963e3
work_keys_str_mv AT shishiwang stabilityandbifurcationanalysisofsiqrforthecovid19epidemicmodelwithtimedelay
AT yutingding stabilityandbifurcationanalysisofsiqrforthecovid19epidemicmodelwithtimedelay
AT hongfanlu stabilityandbifurcationanalysisofsiqrforthecovid19epidemicmodelwithtimedelay
AT silingong stabilityandbifurcationanalysisofsiqrforthecovid19epidemicmodelwithtimedelay
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