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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/68633
Ver los metadatos del registro completo
id |
CONICETDig_78dd3f26ed40a8eea49a2fb98ad49b35 |
---|---|
oai_identifier_str |
oai:ri.conicet.gov.ar:11336/68633 |
network_acronym_str |
CONICETDig |
repository_id_str |
3498 |
network_name_str |
CONICET Digital (CONICET) |
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 |
_version_ |
1846083030982066176 |
score |
13.22299 |