Influence of Vectors' Risk-Spreading Strategies and Environmental Stochasticity on the Epidemiology and Evolution of Vector-Borne Diseases: The Example of Chagas' Disease

Autores
Pelosse, Perrine; Kribs Zaleta, Cristhoper Mitchell; Giniux, Marine; Rabinovich, Jorge Eduardo; Gourbière, Sébastien; Menu, Frédéric
Año de publicación
2013
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Insects are known to display strategies that spread the risk of encountering unfavorable conditions, thereby decreasing the extinction probability of genetic lineages in unpredictable environments. To what extent these strategies influence the epidemiology and evolution of vector-borne diseases in stochastic environments is largely unknown. In triatomines, the vectors of the parasite Trypanosoma cruzi, the etiological agent of Chagas' disease, juvenile development time varies between individuals and such variation most likely decreases the extinction risk of vector populations in stochastic environments. We developed a simplified multi-stage vector-borne SI epidemiological model to investigate how vector risk-spreading strategies and environmental stochasticity influence the prevalence and evolution of a parasite. This model is based on available knowledge on triatomine biodemography, but its conceptual outcomes apply, to a certain extent, to other vector-borne diseases. Model comparisons between deterministic and stochastic settings led to the conclusion that environmental stochasticity, vector risk-spreading strategies (in particular an increase in the length and variability of development time) and their interaction have drastic consequences on vector population dynamics, disease prevalence, and the relative short-term evolution of parasite virulence. Our work shows that stochastic environments and associated risk-spreading strategies can increase the prevalence of vector-borne diseases and favor the invasion of more virulent parasite strains on relatively short evolutionary timescales. This study raises new questions and challenges in a context of increasingly unpredictable environmental variations as a result of global climate change and human interventions such as habitat destruction or vector control.
Fil: Pelosse, Perrine. Public Health England; Reino Unido. Centre National de la Recherche Scientifique; Francia. University of Texas; Estados Unidos. Université Claude Bernard Lyon 1; Francia
Fil: Kribs Zaleta, Cristhoper Mitchell. University of Texas; Estados Unidos
Fil: Giniux, Marine. Centre National de la Recherche Scientifique; Francia. Université Claude Bernard Lyon 1; Francia
Fil: Rabinovich, Jorge Eduardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Centro de Estudios Parasitológicos y de Vectores. Universidad Nacional de La Plata. Facultad de Ciencias Naturales y Museo. Centro de Estudios Parasitológicos y de Vectores; Argentina
Fil: Gourbière, Sébastien. Centre National de la Recherche Scientifique; Francia. Université de Perpignan Via Domitia; Francia. University of Sussex; Reino Unido
Fil: Menu, Frédéric. Université Claude Bernard Lyon 1; Francia. Centre National de la Recherche Scientifique; Francia
Materia
EVOLUTION
CHAGAS DISEASE
TRYPANOISOMA CRUZI
MATHEMATICAL MODELING
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/81011

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network_name_str CONICET Digital (CONICET)
spelling Influence of Vectors' Risk-Spreading Strategies and Environmental Stochasticity on the Epidemiology and Evolution of Vector-Borne Diseases: The Example of Chagas' DiseasePelosse, PerrineKribs Zaleta, Cristhoper MitchellGiniux, MarineRabinovich, Jorge EduardoGourbière, SébastienMenu, FrédéricEVOLUTIONCHAGAS DISEASETRYPANOISOMA CRUZIMATHEMATICAL MODELINGhttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1Insects are known to display strategies that spread the risk of encountering unfavorable conditions, thereby decreasing the extinction probability of genetic lineages in unpredictable environments. To what extent these strategies influence the epidemiology and evolution of vector-borne diseases in stochastic environments is largely unknown. In triatomines, the vectors of the parasite Trypanosoma cruzi, the etiological agent of Chagas' disease, juvenile development time varies between individuals and such variation most likely decreases the extinction risk of vector populations in stochastic environments. We developed a simplified multi-stage vector-borne SI epidemiological model to investigate how vector risk-spreading strategies and environmental stochasticity influence the prevalence and evolution of a parasite. This model is based on available knowledge on triatomine biodemography, but its conceptual outcomes apply, to a certain extent, to other vector-borne diseases. Model comparisons between deterministic and stochastic settings led to the conclusion that environmental stochasticity, vector risk-spreading strategies (in particular an increase in the length and variability of development time) and their interaction have drastic consequences on vector population dynamics, disease prevalence, and the relative short-term evolution of parasite virulence. Our work shows that stochastic environments and associated risk-spreading strategies can increase the prevalence of vector-borne diseases and favor the invasion of more virulent parasite strains on relatively short evolutionary timescales. This study raises new questions and challenges in a context of increasingly unpredictable environmental variations as a result of global climate change and human interventions such as habitat destruction or vector control.Fil: Pelosse, Perrine. Public Health England; Reino Unido. Centre National de la Recherche Scientifique; Francia. University of Texas; Estados Unidos. Université Claude Bernard Lyon 1; FranciaFil: Kribs Zaleta, Cristhoper Mitchell. University of Texas; Estados UnidosFil: Giniux, Marine. Centre National de la Recherche Scientifique; Francia. Université Claude Bernard Lyon 1; FranciaFil: Rabinovich, Jorge Eduardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Centro de Estudios Parasitológicos y de Vectores. Universidad Nacional de La Plata. Facultad de Ciencias Naturales y Museo. Centro de Estudios Parasitológicos y de Vectores; ArgentinaFil: Gourbière, Sébastien. Centre National de la Recherche Scientifique; Francia. Université de Perpignan Via Domitia; Francia. University of Sussex; Reino UnidoFil: Menu, Frédéric. Université Claude Bernard Lyon 1; Francia. Centre National de la Recherche Scientifique; FranciaPublic Library of Science2013-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/81011Pelosse, Perrine; Kribs Zaleta, Cristhoper Mitchell; Giniux, Marine; Rabinovich, Jorge Eduardo; Gourbière, Sébastien; et al.; Influence of Vectors' Risk-Spreading Strategies and Environmental Stochasticity on the Epidemiology and Evolution of Vector-Borne Diseases: The Example of Chagas' Disease; Public Library of Science; Plos One; 8; 8-2013; 70830-708301932-6203enginfo:eu-repo/semantics/altIdentifier/url/http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0070830info:eu-repo/semantics/altIdentifier/doi/10.1371/journal.pone.0070830info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:50:14Zoai:ri.conicet.gov.ar:11336/81011instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:50:14.87CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Influence of Vectors' Risk-Spreading Strategies and Environmental Stochasticity on the Epidemiology and Evolution of Vector-Borne Diseases: The Example of Chagas' Disease
title Influence of Vectors' Risk-Spreading Strategies and Environmental Stochasticity on the Epidemiology and Evolution of Vector-Borne Diseases: The Example of Chagas' Disease
spellingShingle Influence of Vectors' Risk-Spreading Strategies and Environmental Stochasticity on the Epidemiology and Evolution of Vector-Borne Diseases: The Example of Chagas' Disease
Pelosse, Perrine
EVOLUTION
CHAGAS DISEASE
TRYPANOISOMA CRUZI
MATHEMATICAL MODELING
title_short Influence of Vectors' Risk-Spreading Strategies and Environmental Stochasticity on the Epidemiology and Evolution of Vector-Borne Diseases: The Example of Chagas' Disease
title_full Influence of Vectors' Risk-Spreading Strategies and Environmental Stochasticity on the Epidemiology and Evolution of Vector-Borne Diseases: The Example of Chagas' Disease
title_fullStr Influence of Vectors' Risk-Spreading Strategies and Environmental Stochasticity on the Epidemiology and Evolution of Vector-Borne Diseases: The Example of Chagas' Disease
title_full_unstemmed Influence of Vectors' Risk-Spreading Strategies and Environmental Stochasticity on the Epidemiology and Evolution of Vector-Borne Diseases: The Example of Chagas' Disease
title_sort Influence of Vectors' Risk-Spreading Strategies and Environmental Stochasticity on the Epidemiology and Evolution of Vector-Borne Diseases: The Example of Chagas' Disease
dc.creator.none.fl_str_mv Pelosse, Perrine
Kribs Zaleta, Cristhoper Mitchell
Giniux, Marine
Rabinovich, Jorge Eduardo
Gourbière, Sébastien
Menu, Frédéric
author Pelosse, Perrine
author_facet Pelosse, Perrine
Kribs Zaleta, Cristhoper Mitchell
Giniux, Marine
Rabinovich, Jorge Eduardo
Gourbière, Sébastien
Menu, Frédéric
author_role author
author2 Kribs Zaleta, Cristhoper Mitchell
Giniux, Marine
Rabinovich, Jorge Eduardo
Gourbière, Sébastien
Menu, Frédéric
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv EVOLUTION
CHAGAS DISEASE
TRYPANOISOMA CRUZI
MATHEMATICAL MODELING
topic EVOLUTION
CHAGAS DISEASE
TRYPANOISOMA CRUZI
MATHEMATICAL MODELING
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Insects are known to display strategies that spread the risk of encountering unfavorable conditions, thereby decreasing the extinction probability of genetic lineages in unpredictable environments. To what extent these strategies influence the epidemiology and evolution of vector-borne diseases in stochastic environments is largely unknown. In triatomines, the vectors of the parasite Trypanosoma cruzi, the etiological agent of Chagas' disease, juvenile development time varies between individuals and such variation most likely decreases the extinction risk of vector populations in stochastic environments. We developed a simplified multi-stage vector-borne SI epidemiological model to investigate how vector risk-spreading strategies and environmental stochasticity influence the prevalence and evolution of a parasite. This model is based on available knowledge on triatomine biodemography, but its conceptual outcomes apply, to a certain extent, to other vector-borne diseases. Model comparisons between deterministic and stochastic settings led to the conclusion that environmental stochasticity, vector risk-spreading strategies (in particular an increase in the length and variability of development time) and their interaction have drastic consequences on vector population dynamics, disease prevalence, and the relative short-term evolution of parasite virulence. Our work shows that stochastic environments and associated risk-spreading strategies can increase the prevalence of vector-borne diseases and favor the invasion of more virulent parasite strains on relatively short evolutionary timescales. This study raises new questions and challenges in a context of increasingly unpredictable environmental variations as a result of global climate change and human interventions such as habitat destruction or vector control.
Fil: Pelosse, Perrine. Public Health England; Reino Unido. Centre National de la Recherche Scientifique; Francia. University of Texas; Estados Unidos. Université Claude Bernard Lyon 1; Francia
Fil: Kribs Zaleta, Cristhoper Mitchell. University of Texas; Estados Unidos
Fil: Giniux, Marine. Centre National de la Recherche Scientifique; Francia. Université Claude Bernard Lyon 1; Francia
Fil: Rabinovich, Jorge Eduardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Centro de Estudios Parasitológicos y de Vectores. Universidad Nacional de La Plata. Facultad de Ciencias Naturales y Museo. Centro de Estudios Parasitológicos y de Vectores; Argentina
Fil: Gourbière, Sébastien. Centre National de la Recherche Scientifique; Francia. Université de Perpignan Via Domitia; Francia. University of Sussex; Reino Unido
Fil: Menu, Frédéric. Université Claude Bernard Lyon 1; Francia. Centre National de la Recherche Scientifique; Francia
description Insects are known to display strategies that spread the risk of encountering unfavorable conditions, thereby decreasing the extinction probability of genetic lineages in unpredictable environments. To what extent these strategies influence the epidemiology and evolution of vector-borne diseases in stochastic environments is largely unknown. In triatomines, the vectors of the parasite Trypanosoma cruzi, the etiological agent of Chagas' disease, juvenile development time varies between individuals and such variation most likely decreases the extinction risk of vector populations in stochastic environments. We developed a simplified multi-stage vector-borne SI epidemiological model to investigate how vector risk-spreading strategies and environmental stochasticity influence the prevalence and evolution of a parasite. This model is based on available knowledge on triatomine biodemography, but its conceptual outcomes apply, to a certain extent, to other vector-borne diseases. Model comparisons between deterministic and stochastic settings led to the conclusion that environmental stochasticity, vector risk-spreading strategies (in particular an increase in the length and variability of development time) and their interaction have drastic consequences on vector population dynamics, disease prevalence, and the relative short-term evolution of parasite virulence. Our work shows that stochastic environments and associated risk-spreading strategies can increase the prevalence of vector-borne diseases and favor the invasion of more virulent parasite strains on relatively short evolutionary timescales. This study raises new questions and challenges in a context of increasingly unpredictable environmental variations as a result of global climate change and human interventions such as habitat destruction or vector control.
publishDate 2013
dc.date.none.fl_str_mv 2013-08
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/81011
Pelosse, Perrine; Kribs Zaleta, Cristhoper Mitchell; Giniux, Marine; Rabinovich, Jorge Eduardo; Gourbière, Sébastien; et al.; Influence of Vectors' Risk-Spreading Strategies and Environmental Stochasticity on the Epidemiology and Evolution of Vector-Borne Diseases: The Example of Chagas' Disease; Public Library of Science; Plos One; 8; 8-2013; 70830-70830
1932-6203
url http://hdl.handle.net/11336/81011
identifier_str_mv Pelosse, Perrine; Kribs Zaleta, Cristhoper Mitchell; Giniux, Marine; Rabinovich, Jorge Eduardo; Gourbière, Sébastien; et al.; Influence of Vectors' Risk-Spreading Strategies and Environmental Stochasticity on the Epidemiology and Evolution of Vector-Borne Diseases: The Example of Chagas' Disease; Public Library of Science; Plos One; 8; 8-2013; 70830-70830
1932-6203
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0070830
info:eu-repo/semantics/altIdentifier/doi/10.1371/journal.pone.0070830
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Public Library of Science
publisher.none.fl_str_mv Public Library of Science
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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