Spatial patterns of high Aedes Aegypti oviposition activity in northwestern Argentina

Autores
Estallo, Elizabet Lilia; Más, Guillermo; Vergara Cid, Carolina; Lanfri, Mario Alberto; Ludueña Almeida, Francisco; Scavuzzo, Carlos Marcelo; Introini, María Virginia; Zaidenberg, Mario; Almiron, Walter Ricardo
Año de publicación
2013
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Background: In Argentina, dengue has affected mainly the Northern provinces, including Salta. The objective of this study was to analyze the spatial patterns of high Aedes aegypti oviposition activity in San Ramo´n de la Nueva Ora´n, northwestern Argentina. The location of clusters as hot spot areas should help control programs to identify priority areas and allocate their resources more effectively. Methodology: Oviposition activity was detected in Ora´n City (Salta province) using ovitraps, weekly replaced (October 2005–2007). Spatial autocorrelation was measured with Moran’s Index and depicted through cluster maps to identify hot spots. Total egg numbers were spatially interpolated and a classified map with Ae. aegypti high oviposition activity areas was performed. Potential breeding and resting (PBR) sites were geo-referenced. A logistic regression analysis of interpolated egg numbers and PBR location was performed to generate a predictive mapping of mosquito oviposition activity. Principal Findings: Both cluster maps and predictive map were consistent, identifying in central and southern areas of the city high Ae. aegypti oviposition activity. A logistic regression model was successfully developed to predict Ae. aegypti oviposition activity based on distance to PBR sites, with tire dumps having the strongest association with mosquito oviposition activity. A predictive map reflecting probability of oviposition activity was produced. The predictive map delimitated an area of maximum probability of Ae. aegypti oviposition activity in the south of Ora´n city where tire dumps predominate. The overall fit of the model was acceptable (ROC = 0.77), obtaining 99% of sensitivity and 75.29% of specificity. Conclusions: Distance to tire dumps is inversely associated with high mosquito activity, allowing us to identify hot spots. These methodologies are useful for prevention, surveillance, and control of tropical vector borne diseases and might assist National Health Ministry to focus resources more effectively.
Fil: Estallo, Elizabet Lilia. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Centro de Investigaciones Entomológicas de Córdoba; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Córdoba. Instituto de Investigaciones Biológicas y Tecnológicas; Argentina
Fil: Más, Guillermo. Instituto Nacional de Tecnología Agropecuaria; Argentina
Fil: Vergara Cid, Carolina. Universidad Nacional de Cordoba. Facultad de Medicina. Instituto de Virologia "Dr. J.M. Vanella". Laboratorio de Arbovirus; Argentina
Fil: Lanfri, Mario Alberto. Comision Nacional de Actividades Espaciales. Instituto de Altos Estudios Espaciales "Mario Gulich"; Argentina
Fil: Ludueña Almeida, Francisco. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Centro de Investigaciones Entomológicas de Córdoba; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Córdoba. Instituto de Investigaciones Biológicas y Tecnológicas; Argentina
Fil: Scavuzzo, Carlos Marcelo. Comision Nacional de Actividades Espaciales. Instituto de Altos Estudios Espaciales "Mario Gulich"; Argentina
Fil: Introini, María Virginia. Ministerio de Salud de la Nación; Argentina
Fil: Zaidenberg, Mario. Ministerio de Salud de la Nación; Argentina
Fil: Almiron, Walter Ricardo. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Centro de Investigaciones Entomológicas de Córdoba; Argentina
Materia
GEOGRAPHIC INFORMATION SYSTEMS (GIS)
SPATIAL ANALYZES
AEDES AEGYPTI
OVIPOSITION ACTIVITY
MORAN`S INDEX
LISA CLUSTER MAPS
LOGISTIC REGRESSION MODEL
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:11336/10070
Acceder
id CONICETDig_dc635b675adc9446f80c977e17d1b8e9
oai_identifier_str oai:ri.conicet.gov.ar:11336/10070
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Spatial patterns of high Aedes Aegypti oviposition activity in northwestern ArgentinaEstallo, Elizabet LiliaMás, GuillermoVergara Cid, CarolinaLanfri, Mario AlbertoLudueña Almeida, FranciscoScavuzzo, Carlos MarceloIntroini, María VirginiaZaidenberg, MarioAlmiron, Walter RicardoGEOGRAPHIC INFORMATION SYSTEMS (GIS)SPATIAL ANALYZESAEDES AEGYPTIOVIPOSITION ACTIVITYMORAN`S INDEXLISA CLUSTER MAPSLOGISTIC REGRESSION MODELhttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1Background: In Argentina, dengue has affected mainly the Northern provinces, including Salta. The objective of this study was to analyze the spatial patterns of high Aedes aegypti oviposition activity in San Ramo´n de la Nueva Ora´n, northwestern Argentina. The location of clusters as hot spot areas should help control programs to identify priority areas and allocate their resources more effectively. Methodology: Oviposition activity was detected in Ora´n City (Salta province) using ovitraps, weekly replaced (October 2005–2007). Spatial autocorrelation was measured with Moran’s Index and depicted through cluster maps to identify hot spots. Total egg numbers were spatially interpolated and a classified map with Ae. aegypti high oviposition activity areas was performed. Potential breeding and resting (PBR) sites were geo-referenced. A logistic regression analysis of interpolated egg numbers and PBR location was performed to generate a predictive mapping of mosquito oviposition activity. Principal Findings: Both cluster maps and predictive map were consistent, identifying in central and southern areas of the city high Ae. aegypti oviposition activity. A logistic regression model was successfully developed to predict Ae. aegypti oviposition activity based on distance to PBR sites, with tire dumps having the strongest association with mosquito oviposition activity. A predictive map reflecting probability of oviposition activity was produced. The predictive map delimitated an area of maximum probability of Ae. aegypti oviposition activity in the south of Ora´n city where tire dumps predominate. The overall fit of the model was acceptable (ROC = 0.77), obtaining 99% of sensitivity and 75.29% of specificity. Conclusions: Distance to tire dumps is inversely associated with high mosquito activity, allowing us to identify hot spots. These methodologies are useful for prevention, surveillance, and control of tropical vector borne diseases and might assist National Health Ministry to focus resources more effectively.Fil: Estallo, Elizabet Lilia. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Centro de Investigaciones Entomológicas de Córdoba; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Córdoba. Instituto de Investigaciones Biológicas y Tecnológicas; ArgentinaFil: Más, Guillermo. Instituto Nacional de Tecnología Agropecuaria; ArgentinaFil: Vergara Cid, Carolina. Universidad Nacional de Cordoba. Facultad de Medicina. Instituto de Virologia "Dr. J.M. Vanella". Laboratorio de Arbovirus; ArgentinaFil: Lanfri, Mario Alberto. Comision Nacional de Actividades Espaciales. Instituto de Altos Estudios Espaciales "Mario Gulich"; ArgentinaFil: Ludueña Almeida, Francisco. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Centro de Investigaciones Entomológicas de Córdoba; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Córdoba. Instituto de Investigaciones Biológicas y Tecnológicas; ArgentinaFil: Scavuzzo, Carlos Marcelo. Comision Nacional de Actividades Espaciales. Instituto de Altos Estudios Espaciales "Mario Gulich"; ArgentinaFil: Introini, María Virginia. Ministerio de Salud de la Nación; ArgentinaFil: Zaidenberg, Mario. Ministerio de Salud de la Nación; ArgentinaFil: Almiron, Walter Ricardo. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Centro de Investigaciones Entomológicas de Córdoba; ArgentinaPublic Library Of Science2013-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/10070Estallo, Elizabet Lilia; Más, Guillermo; Vergara Cid, Carolina; Lanfri, Mario Alberto; Ludueña Almeida, Francisco; et al.; Spatial patterns of high Aedes Aegypti oviposition activity in northwestern Argentina; Public Library Of Science; Plos One; 8; 1; 1-2013; 1-81932-6203enginfo:eu-repo/semantics/altIdentifier/url/http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0054167info:eu-repo/semantics/altIdentifier/doi/10.1371/journal.pone.0054167info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-12-23T13:29:53Zoai:ri.conicet.gov.ar:11336/10070instacron: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:34982025-12-23 13:29:53.342CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Spatial patterns of high Aedes Aegypti oviposition activity in northwestern Argentina
title Spatial patterns of high Aedes Aegypti oviposition activity in northwestern Argentina
spellingShingle Spatial patterns of high Aedes Aegypti oviposition activity in northwestern Argentina
Estallo, Elizabet Lilia
GEOGRAPHIC INFORMATION SYSTEMS (GIS)
SPATIAL ANALYZES
AEDES AEGYPTI
OVIPOSITION ACTIVITY
MORAN`S INDEX
LISA CLUSTER MAPS
LOGISTIC REGRESSION MODEL
title_short Spatial patterns of high Aedes Aegypti oviposition activity in northwestern Argentina
title_full Spatial patterns of high Aedes Aegypti oviposition activity in northwestern Argentina
title_fullStr Spatial patterns of high Aedes Aegypti oviposition activity in northwestern Argentina
title_full_unstemmed Spatial patterns of high Aedes Aegypti oviposition activity in northwestern Argentina
title_sort Spatial patterns of high Aedes Aegypti oviposition activity in northwestern Argentina
dc.creator.none.fl_str_mv Estallo, Elizabet Lilia
Más, Guillermo
Vergara Cid, Carolina
Lanfri, Mario Alberto
Ludueña Almeida, Francisco
Scavuzzo, Carlos Marcelo
Introini, María Virginia
Zaidenberg, Mario
Almiron, Walter Ricardo
author Estallo, Elizabet Lilia
author_facet Estallo, Elizabet Lilia
Más, Guillermo
Vergara Cid, Carolina
Lanfri, Mario Alberto
Ludueña Almeida, Francisco
Scavuzzo, Carlos Marcelo
Introini, María Virginia
Zaidenberg, Mario
Almiron, Walter Ricardo
author_role author
author2 Más, Guillermo
Vergara Cid, Carolina
Lanfri, Mario Alberto
Ludueña Almeida, Francisco
Scavuzzo, Carlos Marcelo
Introini, María Virginia
Zaidenberg, Mario
Almiron, Walter Ricardo
author2_role author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv GEOGRAPHIC INFORMATION SYSTEMS (GIS)
SPATIAL ANALYZES
AEDES AEGYPTI
OVIPOSITION ACTIVITY
MORAN`S INDEX
LISA CLUSTER MAPS
LOGISTIC REGRESSION MODEL
topic GEOGRAPHIC INFORMATION SYSTEMS (GIS)
SPATIAL ANALYZES
AEDES AEGYPTI
OVIPOSITION ACTIVITY
MORAN`S INDEX
LISA CLUSTER MAPS
LOGISTIC REGRESSION MODEL
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: In Argentina, dengue has affected mainly the Northern provinces, including Salta. The objective of this study was to analyze the spatial patterns of high Aedes aegypti oviposition activity in San Ramo´n de la Nueva Ora´n, northwestern Argentina. The location of clusters as hot spot areas should help control programs to identify priority areas and allocate their resources more effectively. Methodology: Oviposition activity was detected in Ora´n City (Salta province) using ovitraps, weekly replaced (October 2005–2007). Spatial autocorrelation was measured with Moran’s Index and depicted through cluster maps to identify hot spots. Total egg numbers were spatially interpolated and a classified map with Ae. aegypti high oviposition activity areas was performed. Potential breeding and resting (PBR) sites were geo-referenced. A logistic regression analysis of interpolated egg numbers and PBR location was performed to generate a predictive mapping of mosquito oviposition activity. Principal Findings: Both cluster maps and predictive map were consistent, identifying in central and southern areas of the city high Ae. aegypti oviposition activity. A logistic regression model was successfully developed to predict Ae. aegypti oviposition activity based on distance to PBR sites, with tire dumps having the strongest association with mosquito oviposition activity. A predictive map reflecting probability of oviposition activity was produced. The predictive map delimitated an area of maximum probability of Ae. aegypti oviposition activity in the south of Ora´n city where tire dumps predominate. The overall fit of the model was acceptable (ROC = 0.77), obtaining 99% of sensitivity and 75.29% of specificity. Conclusions: Distance to tire dumps is inversely associated with high mosquito activity, allowing us to identify hot spots. These methodologies are useful for prevention, surveillance, and control of tropical vector borne diseases and might assist National Health Ministry to focus resources more effectively.
Fil: Estallo, Elizabet Lilia. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Centro de Investigaciones Entomológicas de Córdoba; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Córdoba. Instituto de Investigaciones Biológicas y Tecnológicas; Argentina
Fil: Más, Guillermo. Instituto Nacional de Tecnología Agropecuaria; Argentina
Fil: Vergara Cid, Carolina. Universidad Nacional de Cordoba. Facultad de Medicina. Instituto de Virologia "Dr. J.M. Vanella". Laboratorio de Arbovirus; Argentina
Fil: Lanfri, Mario Alberto. Comision Nacional de Actividades Espaciales. Instituto de Altos Estudios Espaciales "Mario Gulich"; Argentina
Fil: Ludueña Almeida, Francisco. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Centro de Investigaciones Entomológicas de Córdoba; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Córdoba. Instituto de Investigaciones Biológicas y Tecnológicas; Argentina
Fil: Scavuzzo, Carlos Marcelo. Comision Nacional de Actividades Espaciales. Instituto de Altos Estudios Espaciales "Mario Gulich"; Argentina
Fil: Introini, María Virginia. Ministerio de Salud de la Nación; Argentina
Fil: Zaidenberg, Mario. Ministerio de Salud de la Nación; Argentina
Fil: Almiron, Walter Ricardo. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Centro de Investigaciones Entomológicas de Córdoba; Argentina
description Background: In Argentina, dengue has affected mainly the Northern provinces, including Salta. The objective of this study was to analyze the spatial patterns of high Aedes aegypti oviposition activity in San Ramo´n de la Nueva Ora´n, northwestern Argentina. The location of clusters as hot spot areas should help control programs to identify priority areas and allocate their resources more effectively. Methodology: Oviposition activity was detected in Ora´n City (Salta province) using ovitraps, weekly replaced (October 2005–2007). Spatial autocorrelation was measured with Moran’s Index and depicted through cluster maps to identify hot spots. Total egg numbers were spatially interpolated and a classified map with Ae. aegypti high oviposition activity areas was performed. Potential breeding and resting (PBR) sites were geo-referenced. A logistic regression analysis of interpolated egg numbers and PBR location was performed to generate a predictive mapping of mosquito oviposition activity. Principal Findings: Both cluster maps and predictive map were consistent, identifying in central and southern areas of the city high Ae. aegypti oviposition activity. A logistic regression model was successfully developed to predict Ae. aegypti oviposition activity based on distance to PBR sites, with tire dumps having the strongest association with mosquito oviposition activity. A predictive map reflecting probability of oviposition activity was produced. The predictive map delimitated an area of maximum probability of Ae. aegypti oviposition activity in the south of Ora´n city where tire dumps predominate. The overall fit of the model was acceptable (ROC = 0.77), obtaining 99% of sensitivity and 75.29% of specificity. Conclusions: Distance to tire dumps is inversely associated with high mosquito activity, allowing us to identify hot spots. These methodologies are useful for prevention, surveillance, and control of tropical vector borne diseases and might assist National Health Ministry to focus resources more effectively.
publishDate 2013
dc.date.none.fl_str_mv 2013-01
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/11336/10070
Estallo, Elizabet Lilia; Más, Guillermo; Vergara Cid, Carolina; Lanfri, Mario Alberto; Ludueña Almeida, Francisco; et al.; Spatial patterns of high Aedes Aegypti oviposition activity in northwestern Argentina; Public Library Of Science; Plos One; 8; 1; 1-2013; 1-8
1932-6203
url http://hdl.handle.net/11336/10070
identifier_str_mv Estallo, Elizabet Lilia; Más, Guillermo; Vergara Cid, Carolina; Lanfri, Mario Alberto; Ludueña Almeida, Francisco; et al.; Spatial patterns of high Aedes Aegypti oviposition activity in northwestern Argentina; Public Library Of Science; Plos One; 8; 1; 1-2013; 1-8
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.0054167
info:eu-repo/semantics/altIdentifier/doi/10.1371/journal.pone.0054167
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
application/pdf
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_ 1852335191866998784
score 12.952241

Publicaciones similares