Processes affecting Aedes aegypti (Diptera: Culicidae) infestation and abundance: Inference through statistical modeling and risk maps in northern Argentina

Autores
Garelli, Fernando Miguel; Espinosa, M. O.; Gurtler, Ricardo Esteban
Año de publicación
2012
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Understanding the processes that affect Aedes aegypti (L.) (Diptera: Culicidae) may serve as a starting point to create and /or improve vector control strategies. For this purpose, we performed statistical modeling of three entomological surveys conducted in Clorinda City, northern Argentina. Previous 'basic' models of presence or absence of larvae and/or pupae (infestation) and the number of pupae in infested containers (productivity), mainly based on physical characteristics of containers, were expanded to include variables selected a priori reflecting water use practices, vector-related context factors, the history of chemical control, and climate. Model selection was performed using Akaike's Information Criterion. In total, 5,431 water-holding containers were inspected and 12,369 Ae. aegypti pupae collected from 963 positive containers. Large tanks were the most productive container type. Variables reflecting every putative process considered, except for history of chemical control, were selected in the best models obtained for infestation and productivity. The associations found were very strong, particularly in the case of infestation. Water use practices and vector-related context factors were the most important ones, as evidenced by their impact on Akaike's Information Criterion scores of the infestation model. Risk maps based on empirical data and model predictions showed a heterogeneous distribution of entomological risk. An integrated vector control strategy is recommended, aiming at community participation for healthier water use practices and targeting large tanks for key elements such as lid status, water addition frequency and water use.
Fil: Garelli, Fernando Miguel. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Espinosa, M. O.. Fundación Mundo Sano; Argentina
Fil: Gurtler, Ricardo Esteban. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Materia
Aedes Aegypti
Akaike'S Information Criterion
Dengue
Vector Control
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/68633

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spelling Processes affecting Aedes aegypti (Diptera: Culicidae) infestation and abundance: Inference through statistical modeling and risk maps in northern ArgentinaGarelli, Fernando MiguelEspinosa, M. O.Gurtler, Ricardo EstebanAedes AegyptiAkaike'S Information CriterionDengueVector Controlhttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1Understanding the processes that affect Aedes aegypti (L.) (Diptera: Culicidae) may serve as a starting point to create and /or improve vector control strategies. For this purpose, we performed statistical modeling of three entomological surveys conducted in Clorinda City, northern Argentina. Previous 'basic' models of presence or absence of larvae and/or pupae (infestation) and the number of pupae in infested containers (productivity), mainly based on physical characteristics of containers, were expanded to include variables selected a priori reflecting water use practices, vector-related context factors, the history of chemical control, and climate. Model selection was performed using Akaike's Information Criterion. In total, 5,431 water-holding containers were inspected and 12,369 Ae. aegypti pupae collected from 963 positive containers. Large tanks were the most productive container type. Variables reflecting every putative process considered, except for history of chemical control, were selected in the best models obtained for infestation and productivity. The associations found were very strong, particularly in the case of infestation. Water use practices and vector-related context factors were the most important ones, as evidenced by their impact on Akaike's Information Criterion scores of the infestation model. Risk maps based on empirical data and model predictions showed a heterogeneous distribution of entomological risk. An integrated vector control strategy is recommended, aiming at community participation for healthier water use practices and targeting large tanks for key elements such as lid status, water addition frequency and water use.Fil: Garelli, Fernando Miguel. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Espinosa, M. O.. Fundación Mundo Sano; ArgentinaFil: Gurtler, Ricardo Esteban. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaEntomological Society of America2012-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/68633Garelli, Fernando Miguel; Espinosa, M. O.; Gurtler, Ricardo Esteban; Processes affecting Aedes aegypti (Diptera: Culicidae) infestation and abundance: Inference through statistical modeling and risk maps in northern Argentina; Entomological Society of America; Journal of Medical Entomology; 49; 3; 5-2012; 722-7300022-2585CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1603/ME11156info:eu-repo/semantics/altIdentifier/url/https://academic.oup.com/jme/article-abstract/49/3/722/875871info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T14:50:37Zoai:ri.conicet.gov.ar:11336/68633instacron: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:34982025-10-15 14:50:37.34CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Processes affecting Aedes aegypti (Diptera: Culicidae) infestation and abundance: Inference through statistical modeling and risk maps in northern Argentina
title Processes affecting Aedes aegypti (Diptera: Culicidae) infestation and abundance: Inference through statistical modeling and risk maps in northern Argentina
spellingShingle Processes affecting Aedes aegypti (Diptera: Culicidae) infestation and abundance: Inference through statistical modeling and risk maps in northern Argentina
Garelli, Fernando Miguel
Aedes Aegypti
Akaike'S Information Criterion
Dengue
Vector Control
title_short Processes affecting Aedes aegypti (Diptera: Culicidae) infestation and abundance: Inference through statistical modeling and risk maps in northern Argentina
title_full Processes affecting Aedes aegypti (Diptera: Culicidae) infestation and abundance: Inference through statistical modeling and risk maps in northern Argentina
title_fullStr Processes affecting Aedes aegypti (Diptera: Culicidae) infestation and abundance: Inference through statistical modeling and risk maps in northern Argentina
title_full_unstemmed Processes affecting Aedes aegypti (Diptera: Culicidae) infestation and abundance: Inference through statistical modeling and risk maps in northern Argentina
title_sort Processes affecting Aedes aegypti (Diptera: Culicidae) infestation and abundance: Inference through statistical modeling and risk maps in northern Argentina
dc.creator.none.fl_str_mv Garelli, Fernando Miguel
Espinosa, M. O.
Gurtler, Ricardo Esteban
author Garelli, Fernando Miguel
author_facet Garelli, Fernando Miguel
Espinosa, M. O.
Gurtler, Ricardo Esteban
author_role author
author2 Espinosa, M. O.
Gurtler, Ricardo Esteban
author2_role author
author
dc.subject.none.fl_str_mv Aedes Aegypti
Akaike'S Information Criterion
Dengue
Vector Control
topic Aedes Aegypti
Akaike'S Information Criterion
Dengue
Vector Control
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Understanding the processes that affect Aedes aegypti (L.) (Diptera: Culicidae) may serve as a starting point to create and /or improve vector control strategies. For this purpose, we performed statistical modeling of three entomological surveys conducted in Clorinda City, northern Argentina. Previous 'basic' models of presence or absence of larvae and/or pupae (infestation) and the number of pupae in infested containers (productivity), mainly based on physical characteristics of containers, were expanded to include variables selected a priori reflecting water use practices, vector-related context factors, the history of chemical control, and climate. Model selection was performed using Akaike's Information Criterion. In total, 5,431 water-holding containers were inspected and 12,369 Ae. aegypti pupae collected from 963 positive containers. Large tanks were the most productive container type. Variables reflecting every putative process considered, except for history of chemical control, were selected in the best models obtained for infestation and productivity. The associations found were very strong, particularly in the case of infestation. Water use practices and vector-related context factors were the most important ones, as evidenced by their impact on Akaike's Information Criterion scores of the infestation model. Risk maps based on empirical data and model predictions showed a heterogeneous distribution of entomological risk. An integrated vector control strategy is recommended, aiming at community participation for healthier water use practices and targeting large tanks for key elements such as lid status, water addition frequency and water use.
Fil: Garelli, Fernando Miguel. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Espinosa, M. O.. Fundación Mundo Sano; Argentina
Fil: Gurtler, Ricardo Esteban. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
description Understanding the processes that affect Aedes aegypti (L.) (Diptera: Culicidae) may serve as a starting point to create and /or improve vector control strategies. For this purpose, we performed statistical modeling of three entomological surveys conducted in Clorinda City, northern Argentina. Previous 'basic' models of presence or absence of larvae and/or pupae (infestation) and the number of pupae in infested containers (productivity), mainly based on physical characteristics of containers, were expanded to include variables selected a priori reflecting water use practices, vector-related context factors, the history of chemical control, and climate. Model selection was performed using Akaike's Information Criterion. In total, 5,431 water-holding containers were inspected and 12,369 Ae. aegypti pupae collected from 963 positive containers. Large tanks were the most productive container type. Variables reflecting every putative process considered, except for history of chemical control, were selected in the best models obtained for infestation and productivity. The associations found were very strong, particularly in the case of infestation. Water use practices and vector-related context factors were the most important ones, as evidenced by their impact on Akaike's Information Criterion scores of the infestation model. Risk maps based on empirical data and model predictions showed a heterogeneous distribution of entomological risk. An integrated vector control strategy is recommended, aiming at community participation for healthier water use practices and targeting large tanks for key elements such as lid status, water addition frequency and water use.
publishDate 2012
dc.date.none.fl_str_mv 2012-05
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/11336/68633
Garelli, Fernando Miguel; Espinosa, M. O.; Gurtler, Ricardo Esteban; Processes affecting Aedes aegypti (Diptera: Culicidae) infestation and abundance: Inference through statistical modeling and risk maps in northern Argentina; Entomological Society of America; Journal of Medical Entomology; 49; 3; 5-2012; 722-730
0022-2585
CONICET Digital
CONICET
url http://hdl.handle.net/11336/68633
identifier_str_mv Garelli, Fernando Miguel; Espinosa, M. O.; Gurtler, Ricardo Esteban; Processes affecting Aedes aegypti (Diptera: Culicidae) infestation and abundance: Inference through statistical modeling and risk maps in northern Argentina; Entomological Society of America; Journal of Medical Entomology; 49; 3; 5-2012; 722-730
0022-2585
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1603/ME11156
info:eu-repo/semantics/altIdentifier/url/https://academic.oup.com/jme/article-abstract/49/3/722/875871
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Entomological Society of America
publisher.none.fl_str_mv Entomological Society of America
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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