Effects of Coinfection on the Dynamics of Two Pathogens in a Tick-Host Infection Model

As both ticks and hosts may carry one or more pathogens, the phenomenon of coinfection of multiple tick-borne diseases becomes highly relevant and plays a key role in tick-borne disease transmission. In this paper, we propose a coinfection model involving two tick-borne diseases in a tick-host popul...

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Main Authors: Bei Sun, Xue Zhang, Marco Tosato
Format: Article
Language:English
Published: Wiley 2020-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2020/5615173
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author Bei Sun
Xue Zhang
Marco Tosato
author_facet Bei Sun
Xue Zhang
Marco Tosato
author_sort Bei Sun
collection DOAJ
description As both ticks and hosts may carry one or more pathogens, the phenomenon of coinfection of multiple tick-borne diseases becomes highly relevant and plays a key role in tick-borne disease transmission. In this paper, we propose a coinfection model involving two tick-borne diseases in a tick-host population and calculate the basic reproduction numbers at the disease-free equilibrium and two boundary equilibria. To explore the impact of coinfection, we also derive the invasion reproduction numbers which indicate the potential of a pathogen to persist when another pathogen already exists in tick and host populations. Then, we obtain the global stability of the system at the disease-free equilibrium and the boundary equilibrium, respectively, and further demonstrate the existence conditions for uniform persistence of the two diseases. The final numerical simulations mainly verify the theoretical results of coinfection.
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institution Kabale University
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publishDate 2020-01-01
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series Complexity
spelling doaj-art-ad49046715c24059b047799eb40be7fd2025-02-03T01:20:27ZengWileyComplexity1076-27871099-05262020-01-01202010.1155/2020/56151735615173Effects of Coinfection on the Dynamics of Two Pathogens in a Tick-Host Infection ModelBei Sun0Xue Zhang1Marco Tosato2College of Science, Northeastern University, Shenyang, Liaoning 110819, ChinaCollege of Science, Northeastern University, Shenyang, Liaoning 110819, ChinaLaboratory for Industrial and Applied Mathematics, York University, Toronto, Ontario M3J1P3, CanadaAs both ticks and hosts may carry one or more pathogens, the phenomenon of coinfection of multiple tick-borne diseases becomes highly relevant and plays a key role in tick-borne disease transmission. In this paper, we propose a coinfection model involving two tick-borne diseases in a tick-host population and calculate the basic reproduction numbers at the disease-free equilibrium and two boundary equilibria. To explore the impact of coinfection, we also derive the invasion reproduction numbers which indicate the potential of a pathogen to persist when another pathogen already exists in tick and host populations. Then, we obtain the global stability of the system at the disease-free equilibrium and the boundary equilibrium, respectively, and further demonstrate the existence conditions for uniform persistence of the two diseases. The final numerical simulations mainly verify the theoretical results of coinfection.http://dx.doi.org/10.1155/2020/5615173
spellingShingle Bei Sun
Xue Zhang
Marco Tosato
Effects of Coinfection on the Dynamics of Two Pathogens in a Tick-Host Infection Model
Complexity
title Effects of Coinfection on the Dynamics of Two Pathogens in a Tick-Host Infection Model
title_full Effects of Coinfection on the Dynamics of Two Pathogens in a Tick-Host Infection Model
title_fullStr Effects of Coinfection on the Dynamics of Two Pathogens in a Tick-Host Infection Model
title_full_unstemmed Effects of Coinfection on the Dynamics of Two Pathogens in a Tick-Host Infection Model
title_short Effects of Coinfection on the Dynamics of Two Pathogens in a Tick-Host Infection Model
title_sort effects of coinfection on the dynamics of two pathogens in a tick host infection model
url http://dx.doi.org/10.1155/2020/5615173
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AT xuezhang effectsofcoinfectiononthedynamicsoftwopathogensinatickhostinfectionmodel
AT marcotosato effectsofcoinfectiononthedynamicsoftwopathogensinatickhostinfectionmodel