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Spatial Patterns of High Aedes aegypti Oviposition Activity in Northwestern Argentina

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 Ramón de la Nueva Orán, northwestern Argentina. The location of clusters as hot spot areas s...

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Autores principales: Estallo, Elizabet Lilia, Más, Guillermo, Vergara-Cid, Carolina, Lanfri, Mario Alberto, Ludueña-Almeida, Francisco, Scavuzzo, Carlos Marcelo, Introini, María Virginia, Zaidenberg, Mario, Almirón, Walter Ricardo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3547876/
https://www.ncbi.nlm.nih.gov/pubmed/23349813
http://dx.doi.org/10.1371/journal.pone.0054167
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author Estallo, Elizabet Lilia
Más, Guillermo
Vergara-Cid, Carolina
Lanfri, Mario Alberto
Ludueña-Almeida, Francisco
Scavuzzo, Carlos Marcelo
Introini, María Virginia
Zaidenberg, Mario
Almirón, Walter Ricardo
author_facet Estallo, Elizabet Lilia
Más, Guillermo
Vergara-Cid, Carolina
Lanfri, Mario Alberto
Ludueña-Almeida, Francisco
Scavuzzo, Carlos Marcelo
Introini, María Virginia
Zaidenberg, Mario
Almirón, Walter Ricardo
author_sort Estallo, Elizabet Lilia
collection PubMed
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 Ramón de la Nueva Orán, 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 Orán 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 Orán 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.
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spelling pubmed-35478762013-01-24 Spatial Patterns of High Aedes aegypti Oviposition Activity in Northwestern Argentina Estallo, Elizabet Lilia Más, Guillermo Vergara-Cid, Carolina Lanfri, Mario Alberto Ludueña-Almeida, Francisco Scavuzzo, Carlos Marcelo Introini, María Virginia Zaidenberg, Mario Almirón, Walter Ricardo PLoS One Research Article 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 Ramón de la Nueva Orán, 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 Orán 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 Orán 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. Public Library of Science 2013-01-17 /pmc/articles/PMC3547876/ /pubmed/23349813 http://dx.doi.org/10.1371/journal.pone.0054167 Text en © 2013 Estallo et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Estallo, Elizabet Lilia
Más, Guillermo
Vergara-Cid, Carolina
Lanfri, Mario Alberto
Ludueña-Almeida, Francisco
Scavuzzo, Carlos Marcelo
Introini, María Virginia
Zaidenberg, Mario
Almirón, Walter Ricardo
Spatial Patterns of High Aedes aegypti Oviposition Activity in Northwestern Argentina
title 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_short Spatial Patterns of High Aedes aegypti Oviposition Activity in Northwestern Argentina
title_sort spatial patterns of high aedes aegypti oviposition activity in northwestern argentina
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3547876/
https://www.ncbi.nlm.nih.gov/pubmed/23349813
http://dx.doi.org/10.1371/journal.pone.0054167
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