Domestic (re)infestation risk with the main vector Triatoma infestans increases with surrounding green vegetation and social vulnerability in the Argentine Chaco
- Autores
- Elias, Dario Ezequiel; Cardinal, Marta Victoria; Macchiaverna, Natalia Paula; Enriquez, Gustavo Fabián; Gurtler, Ricardo Esteban; Gaspe, Maria Sol
- Año de publicación
- 2024
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Background Chagas disease, caused by Trypanosoma cruzi, is still a public health problem in Latin Americaand in the Southern Cone countries, where Triatoma infestans is the main vector. We evaluated the relationshipsamong the density of green vegetation around rural houses, sociodemographic characteristics, and domestic (re)infestation with T. infestans while accounting for their spatial dependence in the municipality of Pampa del Indiobetween 2007 and 2016.Methods The study comprised sociodemographic and ecological variables from 734 rural houses with no missingdata. Green vegetation density surrounding houses was estimated by the normalized difference vegetation index(NDVI). We used a hierarchical Bayesian logistic regression composed of fixed effects and spatial random effectsto estimate domestic infestation risk and quantile regressions to evaluate the association between surrounding NDVIand selected sociodemographic variables.Results Qom ethnicity and the number of poultry were negatively associated with surrounding NDVI, whereasovercrowding was positively associated with surrounding NDVI. Hierarchical Bayesian models identified that domesticinfestation was positively associated with surrounding NDVI, suitable walls for triatomines, and overcrowdingover both intervention periods. Preintervention domestic infestation also was positively associated with Qom ethnicity.Models with spatial random effects performed better than models without spatial effects. The former identifiedgeographic areas with a domestic infestation risk not accounted for by fixed-effect variables.Conclusions Domestic infestation with T. infestans was associated with the density of green vegetation surroundingrural houses and social vulnerability over a decade of sustained vector control interventions. High density of greenvegetation surrounding rural houses was associated with households with more vulnerable social conditions. Evaluationof domestic infestation risk should simultaneously consider social, landscape and spatial effects to controlfor their mutual dependency. Hierarchical Bayesian models provided a proficient methodology to identify areasfor targeted triatomine and disease surveillance and control.
Fil: Elias, Dario Ezequiel. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ecología, Genética y Evolución. Laboratorio de Eco-Epidemiología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Ecología, Genética y Evolución de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Ecología, Genética y Evolución de Buenos Aires; Argentina
Fil: Cardinal, Marta Victoria. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Ecología, Genética y Evolución de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Ecología, Genética y Evolución de Buenos Aires; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ecología, Genética y Evolución. Laboratorio de Eco-Epidemiología; Argentina
Fil: Macchiaverna, Natalia Paula. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Ecología, Genética y Evolución de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Ecología, Genética y Evolución de Buenos Aires; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ecología, Genética y Evolución. Laboratorio de Eco-Epidemiología; Argentina
Fil: Enriquez, Gustavo Fabián. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ecología, Genética y Evolución. Laboratorio de Eco-Epidemiología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Ecología, Genética y Evolución de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Ecología, Genética y Evolución de Buenos Aires; Argentina
Fil: Gurtler, Ricardo Esteban. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Ecología, Genética y Evolución de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Ecología, Genética y Evolución de Buenos Aires; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ecología, Genética y Evolución. Laboratorio de Eco-Epidemiología; Argentina
Fil: Gaspe, Maria Sol. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Ecología, Genética y Evolución de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Ecología, Genética y Evolución de Buenos Aires; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ecología, Genética y Evolución. Laboratorio de Eco-Epidemiología; Argentina - Materia
-
Vector-borne diseases
Chagas
Social disparities
NDVI
Spatial analysis - 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:11336/261297
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Domestic (re)infestation risk with the main vector Triatoma infestans increases with surrounding green vegetation and social vulnerability in the Argentine ChacoElias, Dario EzequielCardinal, Marta VictoriaMacchiaverna, Natalia PaulaEnriquez, Gustavo FabiánGurtler, Ricardo EstebanGaspe, Maria SolVector-borne diseasesChagasSocial disparitiesNDVISpatial analysishttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1Background Chagas disease, caused by Trypanosoma cruzi, is still a public health problem in Latin Americaand in the Southern Cone countries, where Triatoma infestans is the main vector. We evaluated the relationshipsamong the density of green vegetation around rural houses, sociodemographic characteristics, and domestic (re)infestation with T. infestans while accounting for their spatial dependence in the municipality of Pampa del Indiobetween 2007 and 2016.Methods The study comprised sociodemographic and ecological variables from 734 rural houses with no missingdata. Green vegetation density surrounding houses was estimated by the normalized difference vegetation index(NDVI). We used a hierarchical Bayesian logistic regression composed of fixed effects and spatial random effectsto estimate domestic infestation risk and quantile regressions to evaluate the association between surrounding NDVIand selected sociodemographic variables.Results Qom ethnicity and the number of poultry were negatively associated with surrounding NDVI, whereasovercrowding was positively associated with surrounding NDVI. Hierarchical Bayesian models identified that domesticinfestation was positively associated with surrounding NDVI, suitable walls for triatomines, and overcrowdingover both intervention periods. Preintervention domestic infestation also was positively associated with Qom ethnicity.Models with spatial random effects performed better than models without spatial effects. The former identifiedgeographic areas with a domestic infestation risk not accounted for by fixed-effect variables.Conclusions Domestic infestation with T. infestans was associated with the density of green vegetation surroundingrural houses and social vulnerability over a decade of sustained vector control interventions. High density of greenvegetation surrounding rural houses was associated with households with more vulnerable social conditions. Evaluationof domestic infestation risk should simultaneously consider social, landscape and spatial effects to controlfor their mutual dependency. Hierarchical Bayesian models provided a proficient methodology to identify areasfor targeted triatomine and disease surveillance and control.Fil: Elias, Dario Ezequiel. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ecología, Genética y Evolución. Laboratorio de Eco-Epidemiología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Ecología, Genética y Evolución de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Ecología, Genética y Evolución de Buenos Aires; ArgentinaFil: Cardinal, Marta Victoria. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Ecología, Genética y Evolución de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Ecología, Genética y Evolución de Buenos Aires; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ecología, Genética y Evolución. Laboratorio de Eco-Epidemiología; ArgentinaFil: Macchiaverna, Natalia Paula. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Ecología, Genética y Evolución de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Ecología, Genética y Evolución de Buenos Aires; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ecología, Genética y Evolución. Laboratorio de Eco-Epidemiología; ArgentinaFil: Enriquez, Gustavo Fabián. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ecología, Genética y Evolución. Laboratorio de Eco-Epidemiología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Ecología, Genética y Evolución de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Ecología, Genética y Evolución de Buenos Aires; ArgentinaFil: Gurtler, Ricardo Esteban. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Ecología, Genética y Evolución de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Ecología, Genética y Evolución de Buenos Aires; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ecología, Genética y Evolución. Laboratorio de Eco-Epidemiología; ArgentinaFil: Gaspe, Maria Sol. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Ecología, Genética y Evolución de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Ecología, Genética y Evolución de Buenos Aires; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ecología, Genética y Evolución. Laboratorio de Eco-Epidemiología; ArgentinaBioMed Central2024-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/261297Elias, Dario Ezequiel; Cardinal, Marta Victoria; Macchiaverna, Natalia Paula; Enriquez, Gustavo Fabián; Gurtler, Ricardo Esteban; et al.; Domestic (re)infestation risk with the main vector Triatoma infestans increases with surrounding green vegetation and social vulnerability in the Argentine Chaco; BioMed Central; Parasites and Vectors; 17; 1; 5-2024; 1-141756-3305CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://parasitesandvectors.biomedcentral.com/articles/10.1186/s13071-024-06324-3info:eu-repo/semantics/altIdentifier/doi/10.1186/s13071-024-06324-3info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:20:32Zoai:ri.conicet.gov.ar:11336/261297instacron: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 10:20:33.201CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Domestic (re)infestation risk with the main vector Triatoma infestans increases with surrounding green vegetation and social vulnerability in the Argentine Chaco |
title |
Domestic (re)infestation risk with the main vector Triatoma infestans increases with surrounding green vegetation and social vulnerability in the Argentine Chaco |
spellingShingle |
Domestic (re)infestation risk with the main vector Triatoma infestans increases with surrounding green vegetation and social vulnerability in the Argentine Chaco Elias, Dario Ezequiel Vector-borne diseases Chagas Social disparities NDVI Spatial analysis |
title_short |
Domestic (re)infestation risk with the main vector Triatoma infestans increases with surrounding green vegetation and social vulnerability in the Argentine Chaco |
title_full |
Domestic (re)infestation risk with the main vector Triatoma infestans increases with surrounding green vegetation and social vulnerability in the Argentine Chaco |
title_fullStr |
Domestic (re)infestation risk with the main vector Triatoma infestans increases with surrounding green vegetation and social vulnerability in the Argentine Chaco |
title_full_unstemmed |
Domestic (re)infestation risk with the main vector Triatoma infestans increases with surrounding green vegetation and social vulnerability in the Argentine Chaco |
title_sort |
Domestic (re)infestation risk with the main vector Triatoma infestans increases with surrounding green vegetation and social vulnerability in the Argentine Chaco |
dc.creator.none.fl_str_mv |
Elias, Dario Ezequiel Cardinal, Marta Victoria Macchiaverna, Natalia Paula Enriquez, Gustavo Fabián Gurtler, Ricardo Esteban Gaspe, Maria Sol |
author |
Elias, Dario Ezequiel |
author_facet |
Elias, Dario Ezequiel Cardinal, Marta Victoria Macchiaverna, Natalia Paula Enriquez, Gustavo Fabián Gurtler, Ricardo Esteban Gaspe, Maria Sol |
author_role |
author |
author2 |
Cardinal, Marta Victoria Macchiaverna, Natalia Paula Enriquez, Gustavo Fabián Gurtler, Ricardo Esteban Gaspe, Maria Sol |
author2_role |
author author author author author |
dc.subject.none.fl_str_mv |
Vector-borne diseases Chagas Social disparities NDVI Spatial analysis |
topic |
Vector-borne diseases Chagas Social disparities NDVI Spatial analysis |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.6 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
Background Chagas disease, caused by Trypanosoma cruzi, is still a public health problem in Latin Americaand in the Southern Cone countries, where Triatoma infestans is the main vector. We evaluated the relationshipsamong the density of green vegetation around rural houses, sociodemographic characteristics, and domestic (re)infestation with T. infestans while accounting for their spatial dependence in the municipality of Pampa del Indiobetween 2007 and 2016.Methods The study comprised sociodemographic and ecological variables from 734 rural houses with no missingdata. Green vegetation density surrounding houses was estimated by the normalized difference vegetation index(NDVI). We used a hierarchical Bayesian logistic regression composed of fixed effects and spatial random effectsto estimate domestic infestation risk and quantile regressions to evaluate the association between surrounding NDVIand selected sociodemographic variables.Results Qom ethnicity and the number of poultry were negatively associated with surrounding NDVI, whereasovercrowding was positively associated with surrounding NDVI. Hierarchical Bayesian models identified that domesticinfestation was positively associated with surrounding NDVI, suitable walls for triatomines, and overcrowdingover both intervention periods. Preintervention domestic infestation also was positively associated with Qom ethnicity.Models with spatial random effects performed better than models without spatial effects. The former identifiedgeographic areas with a domestic infestation risk not accounted for by fixed-effect variables.Conclusions Domestic infestation with T. infestans was associated with the density of green vegetation surroundingrural houses and social vulnerability over a decade of sustained vector control interventions. High density of greenvegetation surrounding rural houses was associated with households with more vulnerable social conditions. Evaluationof domestic infestation risk should simultaneously consider social, landscape and spatial effects to controlfor their mutual dependency. Hierarchical Bayesian models provided a proficient methodology to identify areasfor targeted triatomine and disease surveillance and control. Fil: Elias, Dario Ezequiel. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ecología, Genética y Evolución. Laboratorio de Eco-Epidemiología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Ecología, Genética y Evolución de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Ecología, Genética y Evolución de Buenos Aires; Argentina Fil: Cardinal, Marta Victoria. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Ecología, Genética y Evolución de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Ecología, Genética y Evolución de Buenos Aires; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ecología, Genética y Evolución. Laboratorio de Eco-Epidemiología; Argentina Fil: Macchiaverna, Natalia Paula. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Ecología, Genética y Evolución de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Ecología, Genética y Evolución de Buenos Aires; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ecología, Genética y Evolución. Laboratorio de Eco-Epidemiología; Argentina Fil: Enriquez, Gustavo Fabián. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ecología, Genética y Evolución. Laboratorio de Eco-Epidemiología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Ecología, Genética y Evolución de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Ecología, Genética y Evolución de Buenos Aires; Argentina Fil: Gurtler, Ricardo Esteban. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Ecología, Genética y Evolución de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Ecología, Genética y Evolución de Buenos Aires; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ecología, Genética y Evolución. Laboratorio de Eco-Epidemiología; Argentina Fil: Gaspe, Maria Sol. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Ecología, Genética y Evolución de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Ecología, Genética y Evolución de Buenos Aires; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ecología, Genética y Evolución. Laboratorio de Eco-Epidemiología; Argentina |
description |
Background Chagas disease, caused by Trypanosoma cruzi, is still a public health problem in Latin Americaand in the Southern Cone countries, where Triatoma infestans is the main vector. We evaluated the relationshipsamong the density of green vegetation around rural houses, sociodemographic characteristics, and domestic (re)infestation with T. infestans while accounting for their spatial dependence in the municipality of Pampa del Indiobetween 2007 and 2016.Methods The study comprised sociodemographic and ecological variables from 734 rural houses with no missingdata. Green vegetation density surrounding houses was estimated by the normalized difference vegetation index(NDVI). We used a hierarchical Bayesian logistic regression composed of fixed effects and spatial random effectsto estimate domestic infestation risk and quantile regressions to evaluate the association between surrounding NDVIand selected sociodemographic variables.Results Qom ethnicity and the number of poultry were negatively associated with surrounding NDVI, whereasovercrowding was positively associated with surrounding NDVI. Hierarchical Bayesian models identified that domesticinfestation was positively associated with surrounding NDVI, suitable walls for triatomines, and overcrowdingover both intervention periods. Preintervention domestic infestation also was positively associated with Qom ethnicity.Models with spatial random effects performed better than models without spatial effects. The former identifiedgeographic areas with a domestic infestation risk not accounted for by fixed-effect variables.Conclusions Domestic infestation with T. infestans was associated with the density of green vegetation surroundingrural houses and social vulnerability over a decade of sustained vector control interventions. High density of greenvegetation surrounding rural houses was associated with households with more vulnerable social conditions. Evaluationof domestic infestation risk should simultaneously consider social, landscape and spatial effects to controlfor their mutual dependency. Hierarchical Bayesian models provided a proficient methodology to identify areasfor targeted triatomine and disease surveillance and control. |
publishDate |
2024 |
dc.date.none.fl_str_mv |
2024-05 |
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/11336/261297 Elias, Dario Ezequiel; Cardinal, Marta Victoria; Macchiaverna, Natalia Paula; Enriquez, Gustavo Fabián; Gurtler, Ricardo Esteban; et al.; Domestic (re)infestation risk with the main vector Triatoma infestans increases with surrounding green vegetation and social vulnerability in the Argentine Chaco; BioMed Central; Parasites and Vectors; 17; 1; 5-2024; 1-14 1756-3305 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/261297 |
identifier_str_mv |
Elias, Dario Ezequiel; Cardinal, Marta Victoria; Macchiaverna, Natalia Paula; Enriquez, Gustavo Fabián; Gurtler, Ricardo Esteban; et al.; Domestic (re)infestation risk with the main vector Triatoma infestans increases with surrounding green vegetation and social vulnerability in the Argentine Chaco; BioMed Central; Parasites and Vectors; 17; 1; 5-2024; 1-14 1756-3305 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/https://parasitesandvectors.biomedcentral.com/articles/10.1186/s13071-024-06324-3 info:eu-repo/semantics/altIdentifier/doi/10.1186/s13071-024-06324-3 |
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/ |
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application/pdf application/pdf application/pdf application/pdf application/pdf application/pdf application/pdf |
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BioMed Central |
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BioMed Central |
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reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
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Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
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dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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13.070432 |