A new perspective on infection forces with demonstration by a DDE infectious disease model

In this paper, we revisit the notion of infection force from a new angle which can offer a new perspective to motivate and justify some infection force functions. Our approach can not only explain many existing infection force functions in the literature, it can also motivate new forms of infection...

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Main Authors: Tianyu Cheng, Xingfu Zou
Format: Article
Language:English
Published: AIMS Press 2022-03-01
Series:Mathematical Biosciences and Engineering
Subjects:
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2022227?viewType=HTML
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author Tianyu Cheng
Xingfu Zou
author_facet Tianyu Cheng
Xingfu Zou
author_sort Tianyu Cheng
collection DOAJ
description In this paper, we revisit the notion of infection force from a new angle which can offer a new perspective to motivate and justify some infection force functions. Our approach can not only explain many existing infection force functions in the literature, it can also motivate new forms of infection force functions, particularly infection forces depending on disease surveillance of the past. As a demonstration, we propose an SIRS model with delay. We comprehensively investigate the disease dynamics represented by this model, particularly focusing on the local bifurcation caused by the delay and another parameter that reflects the weight of the past epidemics in the infection force. We confirm Hopf bifurcations both theoretically and numerically. The results show that, depending on how recent the disease surveillance data are, their assigned weight may have a different impact on disease control measures.
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spelling doaj.art-8d047919286e4d2da575eed8bf57057a2022-12-22T02:40:44ZengAIMS PressMathematical Biosciences and Engineering1551-00182022-03-011954856488010.3934/mbe.2022227A new perspective on infection forces with demonstration by a DDE infectious disease modelTianyu Cheng0Xingfu Zou1Department of Mathematics, University of Western Ontario, London, ON, N6A 5B7, CanadaDepartment of Mathematics, University of Western Ontario, London, ON, N6A 5B7, CanadaIn this paper, we revisit the notion of infection force from a new angle which can offer a new perspective to motivate and justify some infection force functions. Our approach can not only explain many existing infection force functions in the literature, it can also motivate new forms of infection force functions, particularly infection forces depending on disease surveillance of the past. As a demonstration, we propose an SIRS model with delay. We comprehensively investigate the disease dynamics represented by this model, particularly focusing on the local bifurcation caused by the delay and another parameter that reflects the weight of the past epidemics in the infection force. We confirm Hopf bifurcations both theoretically and numerically. The results show that, depending on how recent the disease surveillance data are, their assigned weight may have a different impact on disease control measures.https://www.aimspress.com/article/doi/10.3934/mbe.2022227?viewType=HTMLinfection forcespractically susceptiblesirs modeldelay differential equationhopf bifurcation
spellingShingle Tianyu Cheng
Xingfu Zou
A new perspective on infection forces with demonstration by a DDE infectious disease model
Mathematical Biosciences and Engineering
infection forces
practically susceptible
sirs model
delay differential equation
hopf bifurcation
title A new perspective on infection forces with demonstration by a DDE infectious disease model
title_full A new perspective on infection forces with demonstration by a DDE infectious disease model
title_fullStr A new perspective on infection forces with demonstration by a DDE infectious disease model
title_full_unstemmed A new perspective on infection forces with demonstration by a DDE infectious disease model
title_short A new perspective on infection forces with demonstration by a DDE infectious disease model
title_sort new perspective on infection forces with demonstration by a dde infectious disease model
topic infection forces
practically susceptible
sirs model
delay differential equation
hopf bifurcation
url https://www.aimspress.com/article/doi/10.3934/mbe.2022227?viewType=HTML
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