A study of stability of SEIHR model of infectious disease transmission

We develop in this paper a Susceptible Exposed Infectious Hospitalized and Recovered (SEIHR), spread model. In the model studied, we introduce a recruitment constant, to take into account the fact that newborns can transmit disease. The disease-free and endemic equilibrium points are computed and an...

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Main Authors: Ouedraogo Harouna, Ouedraogo Dramane, Ibrango Idrissa, Guiro Aboudramane
Format: Article
Language:English
Published: De Gruyter 2021-12-01
Series:Nonautonomous Dynamical Systems
Subjects:
Online Access:https://doi.org/10.1515/msds-2020-0140
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author Ouedraogo Harouna
Ouedraogo Dramane
Ibrango Idrissa
Guiro Aboudramane
author_facet Ouedraogo Harouna
Ouedraogo Dramane
Ibrango Idrissa
Guiro Aboudramane
author_sort Ouedraogo Harouna
collection DOAJ
description We develop in this paper a Susceptible Exposed Infectious Hospitalized and Recovered (SEIHR), spread model. In the model studied, we introduce a recruitment constant, to take into account the fact that newborns can transmit disease. The disease-free and endemic equilibrium points are computed and analyzed. The basic reproduction number 𝒭0 is acquired, when 𝒭0 ≤ 1, the disease dies out and persists in the community whenever 𝒭0 > 1. From numerical simulation, we illustrate our theoretical analysis.
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spelling doaj.art-2edc914b547d4e6382d9b8dd34fc6c802022-12-21T23:49:13ZengDe GruyterNonautonomous Dynamical Systems2353-06262021-12-018130732710.1515/msds-2020-0140A study of stability of SEIHR model of infectious disease transmissionOuedraogo Harouna0Ouedraogo Dramane1Ibrango Idrissa2Guiro Aboudramane3Université Joseph KI-ZERBO, 03 bp 7021, Ouagadougou 03, Burkina FasoUniversité Nazi Boni, 01 bp 1091, Bobo-Dioulasso 01, Burkina FasoUniversité Nazi Boni, 01 bp 1091, Bobo-Dioulasso 01, Burkina FasoUniversité Nazi Boni, 01 bp 1091, Bobo-Dioulasso 01, Burkina FasoWe develop in this paper a Susceptible Exposed Infectious Hospitalized and Recovered (SEIHR), spread model. In the model studied, we introduce a recruitment constant, to take into account the fact that newborns can transmit disease. The disease-free and endemic equilibrium points are computed and analyzed. The basic reproduction number 𝒭0 is acquired, when 𝒭0 ≤ 1, the disease dies out and persists in the community whenever 𝒭0 > 1. From numerical simulation, we illustrate our theoretical analysis.https://doi.org/10.1515/msds-2020-0140compartmental modelingrecruitmentinfectious diseasereproduction numberequilibriastability analysisnumerical simulation34e0534d0565l20
spellingShingle Ouedraogo Harouna
Ouedraogo Dramane
Ibrango Idrissa
Guiro Aboudramane
A study of stability of SEIHR model of infectious disease transmission
Nonautonomous Dynamical Systems
compartmental modeling
recruitment
infectious disease
reproduction number
equilibria
stability analysis
numerical simulation
34e05
34d05
65l20
title A study of stability of SEIHR model of infectious disease transmission
title_full A study of stability of SEIHR model of infectious disease transmission
title_fullStr A study of stability of SEIHR model of infectious disease transmission
title_full_unstemmed A study of stability of SEIHR model of infectious disease transmission
title_short A study of stability of SEIHR model of infectious disease transmission
title_sort study of stability of seihr model of infectious disease transmission
topic compartmental modeling
recruitment
infectious disease
reproduction number
equilibria
stability analysis
numerical simulation
34e05
34d05
65l20
url https://doi.org/10.1515/msds-2020-0140
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