The effect of time delay in plant--pathogen interactions with host demography

Botanical epidemic models are very important tools to study invasion, persistence and control of diseases. It is well known that limitations arise from considering constant infection rates. We replace this hypothesis in the framework of delay differential equations by proposing a delayed epidemic...

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Main Authors: Bruno Buonomo, Marianna Cerasuolo
Format: Article
Language:English
Published: AIMS Press 2014-12-01
Series:Mathematical Biosciences and Engineering
Subjects:
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2015.12.473
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author Bruno Buonomo
Marianna Cerasuolo
author_facet Bruno Buonomo
Marianna Cerasuolo
author_sort Bruno Buonomo
collection DOAJ
description Botanical epidemic models are very important tools to study invasion, persistence and control of diseases. It is well known that limitations arise from considering constant infection rates. We replace this hypothesis in the framework of delay differential equations by proposing a delayed epidemic model for plant--pathogen interactions with host demography. Sufficient conditions for the global stability of the pathogen-free equilibrium and the permanence of the system are among the results obtained through qualitative analysis. We also show that the delay can cause stability switches of the coexistence equilibrium. In the undelayed case, we prove that the onset of oscillations may occur through Hopf bifurcation.
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spelling doaj-art-bee5ec3ae3294092a6c08dc15872f5c12025-01-24T02:31:53ZengAIMS PressMathematical Biosciences and Engineering1551-00182014-12-0112347349010.3934/mbe.2015.12.473The effect of time delay in plant--pathogen interactions with host demographyBruno Buonomo0Marianna Cerasuolo1Department of Mathematics and Applications, University of Naples Federico II, via Cintia, I-80126 NaplesDepartment of Mathematics, University of Portsmouth, Portsmouth, PO1 3HFBotanical epidemic models are very important tools to study invasion, persistence and control of diseases. It is well known that limitations arise from considering constant infection rates. We replace this hypothesis in the framework of delay differential equations by proposing a delayed epidemic model for plant--pathogen interactions with host demography. Sufficient conditions for the global stability of the pathogen-free equilibrium and the permanence of the system are among the results obtained through qualitative analysis. We also show that the delay can cause stability switches of the coexistence equilibrium. In the undelayed case, we prove that the onset of oscillations may occur through Hopf bifurcation.https://www.aimspress.com/article/doi/10.3934/mbe.2015.12.473hopf bifurcation.global stabilityepidemic modeltime delaypermanence
spellingShingle Bruno Buonomo
Marianna Cerasuolo
The effect of time delay in plant--pathogen interactions with host demography
Mathematical Biosciences and Engineering
hopf bifurcation.
global stability
epidemic model
time delay
permanence
title The effect of time delay in plant--pathogen interactions with host demography
title_full The effect of time delay in plant--pathogen interactions with host demography
title_fullStr The effect of time delay in plant--pathogen interactions with host demography
title_full_unstemmed The effect of time delay in plant--pathogen interactions with host demography
title_short The effect of time delay in plant--pathogen interactions with host demography
title_sort effect of time delay in plant pathogen interactions with host demography
topic hopf bifurcation.
global stability
epidemic model
time delay
permanence
url https://www.aimspress.com/article/doi/10.3934/mbe.2015.12.473
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