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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/81011
Ver los metadatos del registro completo
id |
CONICETDig_751bc54ffe41f56dd7847d1ea976da05 |
---|---|
oai_identifier_str |
oai:ri.conicet.gov.ar:11336/81011 |
network_acronym_str |
CONICETDig |
repository_id_str |
3498 |
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 |
_version_ |
1844613549225148416 |
score |
13.070432 |