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
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/261297
Acceder
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spelling 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 Técnicas2025-10-22T11:53:10Zoai: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:34982025-10-22 11:53:10.4CONICET 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
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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
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repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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