A discrete epidemic model for bovine babesiosis disease and tick populations

In this paper, we provide and study a discrete model for the transmission of Babesiosis disease in bovine and tick populations. This model supposes a discretization of the continuous-time model developed by us previously. The results, here obtained by discrete methods as opposed to continuous ones,...

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Autores:
Aranda Lozano, Diego Fernando
Trejos Angel, Deccy Yaneth
Valverde, Jose C.
Tipo de recurso:
Fecha de publicación:
2017
Institución:
Universidad El Bosque
Repositorio:
Repositorio U. El Bosque
Idioma:
eng
OAI Identifier:
oai:repositorio.unbosque.edu.co:20.500.12495/2378
Acceso en línea:
http://hdl.handle.net/20.500.12495/2378
https://doi.org/10.1515/phys-2017-0040
Palabra clave:
Babesiosis
Enfermedades de los bovinos
Enfermedades por picaduras de garrapatas
Discrete-time epidemic models
Local and global stability
Jury criterion
Rights
License
Attribution-NonCommercial-NoDerivatives 4.0 International
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dc.title.spa.fl_str_mv A discrete epidemic model for bovine babesiosis disease and tick populations
dc.title.translated.none.fl_str_mv A discrete epidemic model for bovine babesiosis disease and tick populations
title A discrete epidemic model for bovine babesiosis disease and tick populations
spellingShingle A discrete epidemic model for bovine babesiosis disease and tick populations
Babesiosis
Enfermedades de los bovinos
Enfermedades por picaduras de garrapatas
Discrete-time epidemic models
Local and global stability
Jury criterion
title_short A discrete epidemic model for bovine babesiosis disease and tick populations
title_full A discrete epidemic model for bovine babesiosis disease and tick populations
title_fullStr A discrete epidemic model for bovine babesiosis disease and tick populations
title_full_unstemmed A discrete epidemic model for bovine babesiosis disease and tick populations
title_sort A discrete epidemic model for bovine babesiosis disease and tick populations
dc.creator.fl_str_mv Aranda Lozano, Diego Fernando
Trejos Angel, Deccy Yaneth
Valverde, Jose C.
dc.contributor.author.none.fl_str_mv Aranda Lozano, Diego Fernando
Trejos Angel, Deccy Yaneth
Valverde, Jose C.
dc.subject.decs.spa.fl_str_mv Babesiosis
Enfermedades de los bovinos
Enfermedades por picaduras de garrapatas
topic Babesiosis
Enfermedades de los bovinos
Enfermedades por picaduras de garrapatas
Discrete-time epidemic models
Local and global stability
Jury criterion
dc.subject.keywords.spa.fl_str_mv Discrete-time epidemic models
Local and global stability
Jury criterion
description In this paper, we provide and study a discrete model for the transmission of Babesiosis disease in bovine and tick populations. This model supposes a discretization of the continuous-time model developed by us previously. The results, here obtained by discrete methods as opposed to continuous ones, show that similar conclusions can be obtained for the discrete model subject to the assumption of some parametric constraints which were not necessary in the continuous case. We prove that these parametric constraints are not artificial and, in fact, they can be deduced from the biological significance of the model. Finally, some numerical simulations are given to validate the model and verify our theoretical study.
publishDate 2017
dc.date.issued.none.fl_str_mv 2017
dc.date.accessioned.none.fl_str_mv 2020-04-24T18:48:39Z
dc.date.available.none.fl_str_mv 2020-04-24T18:48:39Z
dc.type.spa.fl_str_mv article
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dc.type.local.spa.fl_str_mv artículo
dc.identifier.issn.none.fl_str_mv 2391-5471
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/20.500.12495/2378
dc.identifier.doi.none.fl_str_mv https://doi.org/10.1515/phys-2017-0040
dc.identifier.instname.spa.fl_str_mv instname:Universidad El Bosque
dc.identifier.reponame.spa.fl_str_mv reponame:Repositorio Institucional Universidad El Bosque
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identifier_str_mv 2391-5471
instname:Universidad El Bosque
reponame:Repositorio Institucional Universidad El Bosque
repourl:https://repositorio.unbosque.edu.co
url http://hdl.handle.net/20.500.12495/2378
https://doi.org/10.1515/phys-2017-0040
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.ispartofseries.spa.fl_str_mv Open physics, 2391-5471. Vol, 15. 2017, p 360-369
dc.relation.uri.none.fl_str_mv https://www.degruyter.com/view/j/phys.2017.15.issue-1/phys-2017-0040/phys-2017-0040.xml
dc.rights.*.fl_str_mv Attribution-NonCommercial-NoDerivatives 4.0 International
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dc.rights.uri.*.fl_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.local.spa.fl_str_mv Acceso abierto
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dc.rights.creativecommons.none.fl_str_mv 2017
rights_invalid_str_mv Attribution-NonCommercial-NoDerivatives 4.0 International
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Acceso abierto
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dc.publisher.spa.fl_str_mv Walter de Gruyter GmbH
dc.publisher.journal.spa.fl_str_mv Open physics
institution Universidad El Bosque
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spelling Aranda Lozano, Diego FernandoTrejos Angel, Deccy YanethValverde, Jose C.2020-04-24T18:48:39Z2020-04-24T18:48:39Z20172391-5471http://hdl.handle.net/20.500.12495/2378https://doi.org/10.1515/phys-2017-0040instname:Universidad El Bosquereponame:Repositorio Institucional Universidad El Bosquerepourl:https://repositorio.unbosque.edu.coapplication/pdfengWalter de Gruyter GmbHOpen physicsOpen physics, 2391-5471. Vol, 15. 2017, p 360-369https://www.degruyter.com/view/j/phys.2017.15.issue-1/phys-2017-0040/phys-2017-0040.xmlAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/Acceso abiertohttp://purl.org/coar/access_right/c_abf3732017http://purl.org/coar/access_right/c_abf2A discrete epidemic model for bovine babesiosis disease and tick populationsA discrete epidemic model for bovine babesiosis disease and tick populationsarticleartículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501BabesiosisEnfermedades de los bovinosEnfermedades por picaduras de garrapatasDiscrete-time epidemic modelsLocal and global stabilityJury criterionIn this paper, we provide and study a discrete model for the transmission of Babesiosis disease in bovine and tick populations. This model supposes a discretization of the continuous-time model developed by us previously. The results, here obtained by discrete methods as opposed to continuous ones, show that similar conclusions can be obtained for the discrete model subject to the assumption of some parametric constraints which were not necessary in the continuous case. We prove that these parametric constraints are not artificial and, in fact, they can be deduced from the biological significance of the model. 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