Stability analysis of infectious diseases model in a dynamic population

The stability analysis of infectious disease model in a dynamic population is studied.The recruitment rate into the susceptible population is introduced since the population is dynamic thereby allowing a varying population as a result of migration and birth. The model exhibited two equilibria: the d...

Full description

Bibliographic Details
Main Authors: Joseph Akinyemi, Angela Chukwu, Micheal Adeniyi
Format: Article
Language:English
Published: BİSKA Bilisim Company 2018-12-01
Series:Communication in Mathematical Modeling and Applications
Subjects:
Online Access:https://ntmsci.com/ajaxtool/GetArticleByPublishedArticleId?PublishedArticleId=8496
id doaj-15870061d06c4bf8bf600176914a88e6
record_format Article
spelling doaj-15870061d06c4bf8bf600176914a88e62020-11-25T00:35:30ZengBİSKA Bilisim CompanyCommunication in Mathematical Modeling and Applications2528-830X2528-830X2018-12-01330370438496Stability analysis of infectious diseases model in a dynamic populationJoseph Akinyemi0Angela Chukwu1Micheal Adeniyi2Lagos state polytechnic, Ikorodu, LagosUniversity of Ibadan, IbadanLagos state olytechnic, IkoroduThe stability analysis of infectious disease model in a dynamic population is studied.The recruitment rate into the susceptible population is introduced since the population is dynamic thereby allowing a varying population as a result of migration and birth. The model exhibited two equilibria: the disease-free and endemic. The local stability of the model is asymptotically stable when and unstable when. The global stability analysis of the disease-free shows that the system is globally stable when the first derivative of the Lyapunov function is negative.https://ntmsci.com/ajaxtool/GetArticleByPublishedArticleId?PublishedArticleId=8496Basic reproduction numberdynamic populationasymptotically stableLyapunov functionequilibrium point.
collection DOAJ
language English
format Article
sources DOAJ
author Joseph Akinyemi
Angela Chukwu
Micheal Adeniyi
spellingShingle Joseph Akinyemi
Angela Chukwu
Micheal Adeniyi
Stability analysis of infectious diseases model in a dynamic population
Communication in Mathematical Modeling and Applications
Basic reproduction number
dynamic population
asymptotically stable
Lyapunov function
equilibrium point.
author_facet Joseph Akinyemi
Angela Chukwu
Micheal Adeniyi
author_sort Joseph Akinyemi
title Stability analysis of infectious diseases model in a dynamic population
title_short Stability analysis of infectious diseases model in a dynamic population
title_full Stability analysis of infectious diseases model in a dynamic population
title_fullStr Stability analysis of infectious diseases model in a dynamic population
title_full_unstemmed Stability analysis of infectious diseases model in a dynamic population
title_sort stability analysis of infectious diseases model in a dynamic population
publisher BİSKA Bilisim Company
series Communication in Mathematical Modeling and Applications
issn 2528-830X
2528-830X
publishDate 2018-12-01
description The stability analysis of infectious disease model in a dynamic population is studied.The recruitment rate into the susceptible population is introduced since the population is dynamic thereby allowing a varying population as a result of migration and birth. The model exhibited two equilibria: the disease-free and endemic. The local stability of the model is asymptotically stable when and unstable when. The global stability analysis of the disease-free shows that the system is globally stable when the first derivative of the Lyapunov function is negative.
topic Basic reproduction number
dynamic population
asymptotically stable
Lyapunov function
equilibrium point.
url https://ntmsci.com/ajaxtool/GetArticleByPublishedArticleId?PublishedArticleId=8496
work_keys_str_mv AT josephakinyemi stabilityanalysisofinfectiousdiseasesmodelinadynamicpopulation
AT angelachukwu stabilityanalysisofinfectiousdiseasesmodelinadynamicpopulation
AT michealadeniyi stabilityanalysisofinfectiousdiseasesmodelinadynamicpopulation
_version_ 1725308759942627328