Models for predicting aedes aegypti larval indices based on satellite images and climatic variables
- Autores
- Estallo, Elizabet Lilia; Lamfri, Mario; Scavuzzo, Carlos Marcelo; Ludueña Almeida, Francisco; Introini, María V.; Zaidenberg, Mario; Almiron, Walter Ricardo
- Año de publicación
- 2008
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Forecasting models were developed for predicting Aedes aegypti larval indices in an endemic area for dengue (cities of Tartagal and Orn, northwestern Argentina), based on the Breteau and House indices and environmental variables considered with and without time lags. Descriptive models were first developed for each city and each index by multiple linear regressions, followed by a regional model including both cities together. Finally, two forecasting regional models (FRM) were developed and evaluated. FRM2 for the Breteau index and House index fit the data significantly better than FRM1. An evaluation of these models showed a higher correlation FRM1 than for FRM2 for the Breteau index (R 0.83 and 0.62 for 3 months; R 0.86 and 0.67 for 45 days) and the House index (R 0.85 and 0.79 for 3 months; R 0.79 and 0.74 for 45 days). Early warning based on these forecasting models can assist health authorities to improve vector control. © 2008 by The American Mosquito Control Association, Inc.
Fil: Estallo, Elizabet Lilia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones Biológicas y Tecnológicas. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Instituto de Investigaciones Biológicas y Tecnológicas; Argentina. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Centro de Investigaciones Entomológicas de Córdoba; Argentina
Fil: Lamfri, Mario. Comision Nacional de Actividades Espaciales; Argentina
Fil: Scavuzzo, Carlos Marcelo. Comision Nacional de Actividades Espaciales; Argentina
Fil: Ludueña Almeida, Francisco. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Centro de Investigaciones Entomológicas de Córdoba; Argentina
Fil: Introini, María V.. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Centro de Investigaciones Entomológicas de Córdoba; Argentina
Fil: Zaidenberg, Mario. Ministerio de Salud. Dirección de Enfermedades Transmisibles Por Vectores. Centro de Referencia de Vectores; Argentina
Fil: Almiron, Walter Ricardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones Biológicas y Tecnológicas. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Instituto de Investigaciones Biológicas y Tecnológicas; Argentina. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Centro de Investigaciones Entomológicas de Córdoba; Argentina - Materia
-
Aedes Aegypti
Climatic Variables
Forecasting Models
Larval Indices
Remote Sensing - 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:11336/62333
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Models for predicting aedes aegypti larval indices based on satellite images and climatic variablesEstallo, Elizabet LiliaLamfri, MarioScavuzzo, Carlos MarceloLudueña Almeida, FranciscoIntroini, María V.Zaidenberg, MarioAlmiron, Walter RicardoAedes AegyptiClimatic VariablesForecasting ModelsLarval IndicesRemote Sensinghttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1Forecasting models were developed for predicting Aedes aegypti larval indices in an endemic area for dengue (cities of Tartagal and Orn, northwestern Argentina), based on the Breteau and House indices and environmental variables considered with and without time lags. Descriptive models were first developed for each city and each index by multiple linear regressions, followed by a regional model including both cities together. Finally, two forecasting regional models (FRM) were developed and evaluated. FRM2 for the Breteau index and House index fit the data significantly better than FRM1. An evaluation of these models showed a higher correlation FRM1 than for FRM2 for the Breteau index (R 0.83 and 0.62 for 3 months; R 0.86 and 0.67 for 45 days) and the House index (R 0.85 and 0.79 for 3 months; R 0.79 and 0.74 for 45 days). Early warning based on these forecasting models can assist health authorities to improve vector control. © 2008 by The American Mosquito Control Association, Inc.Fil: Estallo, Elizabet Lilia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones Biológicas y Tecnológicas. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Instituto de Investigaciones Biológicas y Tecnológicas; Argentina. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Centro de Investigaciones Entomológicas de Córdoba; ArgentinaFil: Lamfri, Mario. Comision Nacional de Actividades Espaciales; ArgentinaFil: Scavuzzo, Carlos Marcelo. Comision Nacional de Actividades Espaciales; ArgentinaFil: Ludueña Almeida, Francisco. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Centro de Investigaciones Entomológicas de Córdoba; ArgentinaFil: Introini, María V.. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Centro de Investigaciones Entomológicas de Córdoba; ArgentinaFil: Zaidenberg, Mario. Ministerio de Salud. Dirección de Enfermedades Transmisibles Por Vectores. Centro de Referencia de Vectores; ArgentinaFil: Almiron, Walter Ricardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones Biológicas y Tecnológicas. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Instituto de Investigaciones Biológicas y Tecnológicas; Argentina. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Centro de Investigaciones Entomológicas de Córdoba; ArgentinaAmerican Mosquito Control Association2008-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/62333Estallo, Elizabet Lilia; Lamfri, Mario; Scavuzzo, Carlos Marcelo; Ludueña Almeida, Francisco; Introini, María V.; et al.; Models for predicting aedes aegypti larval indices based on satellite images and climatic variables; American Mosquito Control Association; Journal of the American Mosquito Control Association; 24; 3; 9-2008; 368-3768756-971XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://www.bioone.org/doi/abs/10.2987/5705.1info:eu-repo/semantics/altIdentifier/doi/10.2987/5705.1info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:17:07Zoai:ri.conicet.gov.ar:11336/62333instacron: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:34982025-09-29 10:17:07.876CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Models for predicting aedes aegypti larval indices based on satellite images and climatic variables |
title |
Models for predicting aedes aegypti larval indices based on satellite images and climatic variables |
spellingShingle |
Models for predicting aedes aegypti larval indices based on satellite images and climatic variables Estallo, Elizabet Lilia Aedes Aegypti Climatic Variables Forecasting Models Larval Indices Remote Sensing |
title_short |
Models for predicting aedes aegypti larval indices based on satellite images and climatic variables |
title_full |
Models for predicting aedes aegypti larval indices based on satellite images and climatic variables |
title_fullStr |
Models for predicting aedes aegypti larval indices based on satellite images and climatic variables |
title_full_unstemmed |
Models for predicting aedes aegypti larval indices based on satellite images and climatic variables |
title_sort |
Models for predicting aedes aegypti larval indices based on satellite images and climatic variables |
dc.creator.none.fl_str_mv |
Estallo, Elizabet Lilia Lamfri, Mario Scavuzzo, Carlos Marcelo Ludueña Almeida, Francisco Introini, María V. Zaidenberg, Mario Almiron, Walter Ricardo |
author |
Estallo, Elizabet Lilia |
author_facet |
Estallo, Elizabet Lilia Lamfri, Mario Scavuzzo, Carlos Marcelo Ludueña Almeida, Francisco Introini, María V. Zaidenberg, Mario Almiron, Walter Ricardo |
author_role |
author |
author2 |
Lamfri, Mario Scavuzzo, Carlos Marcelo Ludueña Almeida, Francisco Introini, María V. Zaidenberg, Mario Almiron, Walter Ricardo |
author2_role |
author author author author author author |
dc.subject.none.fl_str_mv |
Aedes Aegypti Climatic Variables Forecasting Models Larval Indices Remote Sensing |
topic |
Aedes Aegypti Climatic Variables Forecasting Models Larval Indices Remote Sensing |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.6 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
Forecasting models were developed for predicting Aedes aegypti larval indices in an endemic area for dengue (cities of Tartagal and Orn, northwestern Argentina), based on the Breteau and House indices and environmental variables considered with and without time lags. Descriptive models were first developed for each city and each index by multiple linear regressions, followed by a regional model including both cities together. Finally, two forecasting regional models (FRM) were developed and evaluated. FRM2 for the Breteau index and House index fit the data significantly better than FRM1. An evaluation of these models showed a higher correlation FRM1 than for FRM2 for the Breteau index (R 0.83 and 0.62 for 3 months; R 0.86 and 0.67 for 45 days) and the House index (R 0.85 and 0.79 for 3 months; R 0.79 and 0.74 for 45 days). Early warning based on these forecasting models can assist health authorities to improve vector control. © 2008 by The American Mosquito Control Association, Inc. Fil: Estallo, Elizabet Lilia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones Biológicas y Tecnológicas. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Instituto de Investigaciones Biológicas y Tecnológicas; Argentina. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Centro de Investigaciones Entomológicas de Córdoba; Argentina Fil: Lamfri, Mario. Comision Nacional de Actividades Espaciales; Argentina Fil: Scavuzzo, Carlos Marcelo. Comision Nacional de Actividades Espaciales; Argentina Fil: Ludueña Almeida, Francisco. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Centro de Investigaciones Entomológicas de Córdoba; Argentina Fil: Introini, María V.. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Centro de Investigaciones Entomológicas de Córdoba; Argentina Fil: Zaidenberg, Mario. Ministerio de Salud. Dirección de Enfermedades Transmisibles Por Vectores. Centro de Referencia de Vectores; Argentina Fil: Almiron, Walter Ricardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones Biológicas y Tecnológicas. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Instituto de Investigaciones Biológicas y Tecnológicas; Argentina. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Centro de Investigaciones Entomológicas de Córdoba; Argentina |
description |
Forecasting models were developed for predicting Aedes aegypti larval indices in an endemic area for dengue (cities of Tartagal and Orn, northwestern Argentina), based on the Breteau and House indices and environmental variables considered with and without time lags. Descriptive models were first developed for each city and each index by multiple linear regressions, followed by a regional model including both cities together. Finally, two forecasting regional models (FRM) were developed and evaluated. FRM2 for the Breteau index and House index fit the data significantly better than FRM1. An evaluation of these models showed a higher correlation FRM1 than for FRM2 for the Breteau index (R 0.83 and 0.62 for 3 months; R 0.86 and 0.67 for 45 days) and the House index (R 0.85 and 0.79 for 3 months; R 0.79 and 0.74 for 45 days). Early warning based on these forecasting models can assist health authorities to improve vector control. © 2008 by The American Mosquito Control Association, Inc. |
publishDate |
2008 |
dc.date.none.fl_str_mv |
2008-09 |
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/11336/62333 Estallo, Elizabet Lilia; Lamfri, Mario; Scavuzzo, Carlos Marcelo; Ludueña Almeida, Francisco; Introini, María V.; et al.; Models for predicting aedes aegypti larval indices based on satellite images and climatic variables; American Mosquito Control Association; Journal of the American Mosquito Control Association; 24; 3; 9-2008; 368-376 8756-971X CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/62333 |
identifier_str_mv |
Estallo, Elizabet Lilia; Lamfri, Mario; Scavuzzo, Carlos Marcelo; Ludueña Almeida, Francisco; Introini, María V.; et al.; Models for predicting aedes aegypti larval indices based on satellite images and climatic variables; American Mosquito Control Association; Journal of the American Mosquito Control Association; 24; 3; 9-2008; 368-376 8756-971X CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/http://www.bioone.org/doi/abs/10.2987/5705.1 info:eu-repo/semantics/altIdentifier/doi/10.2987/5705.1 |
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 |
dc.publisher.none.fl_str_mv |
American Mosquito Control Association |
publisher.none.fl_str_mv |
American Mosquito Control Association |
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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1844614121783296000 |
score |
13.070432 |