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dc.contributor.author
Estallo, Elizabet Lilia
dc.contributor.author
Más, Guillermo
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Vergara Cid, Carolina
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Lanfri, Mario Alberto
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Ludueña Almeida, Francisco
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Scavuzzo, Carlos Marcelo
dc.contributor.author
Introini, María Virginia
dc.contributor.author
Zaidenberg, Mario
dc.contributor.author
Almiron, Walter Ricardo
dc.date.available
2016-12-26T14:23:21Z
dc.date.issued
2013-01
dc.identifier.citation
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
dc.identifier.issn
1932-6203
dc.identifier.uri
http://hdl.handle.net/11336/10070
dc.description.abstract
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.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Public Library Of Science
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Geographic Information Systems (Gis)
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Spatial Analyzes
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Aedes Aegypti
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Oviposition Activity
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Moran`S Index
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Lisa Cluster Maps
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Logistic Regression Model
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Zoología, Ornitología, Entomología, Etología
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Ciencias Biológicas
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CIENCIAS NATURALES Y EXACTAS
dc.title
Spatial patterns of high Aedes Aegypti oviposition activity in northwestern Argentina
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2016-12-19T18:06:20Z
dc.journal.volume
8
dc.journal.number
1
dc.journal.pagination
1-8
dc.journal.pais
Estados Unidos
dc.journal.ciudad
San Francisco
dc.description.fil
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
dc.description.fil
Fil: Más, Guillermo. Instituto Nacional de Tecnología Agropecuaria; Argentina
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Fil: Vergara Cid, Carolina. Universidad Nacional de Cordoba. Facultad de Medicina. Instituto de Virologia "Dr. J.M. Vanella". Laboratorio de Arbovirus; Argentina
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Fil: Lanfri, Mario Alberto. Comision Nacional de Actividades Espaciales. Instituto de Altos Estudios Espaciales "Mario Gulich"; Argentina
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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
dc.description.fil
Fil: Scavuzzo, Carlos Marcelo. Comision Nacional de Actividades Espaciales. Instituto de Altos Estudios Espaciales "Mario Gulich"; Argentina
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Fil: Introini, María Virginia. Ministerio de Salud de la Nación; Argentina
dc.description.fil
Fil: Zaidenberg, Mario. Ministerio de Salud de la Nación; Argentina
dc.description.fil
Fil: Almiron, Walter Ricardo. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Centro de Investigaciones Entomológicas de Córdoba; Argentina
dc.journal.title
Plos One
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0054167
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1371/journal.pone.0054167
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