Effectiveness of normalized difference water index in modelling Aedes aegypti house index

Autores
Estallo, Elizabet Lilia; Ludueña Almeida, Francisco; Visintin, Andrés Mario; Scavuzzo, Carlos Marcelo; Lamfri, Mario Alberto; Introini, María Virginia; Zaidenberg, Mario; Almiron, Walter Ricardo
Año de publicación
2011
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The application of remotely sensed data to public health has increased in Argentinain the past few years, especially to study vector-borne viral diseases such as dengue.The normalized difference vegetation index (NDVI) has been widely used for 15remote sensing of vegetation as well as the brightness temperature for many years.Another environmental variable obtained from satellites is the normalized differencewater index (NDWI) for remote sensing of the status of the vegetationliquid water from space. The aim of the present article was to test the effectivenessof NDWI together with other satellite and meteorological data to develop two 20forecasting models, namely, the SATMET (satellite and meteorological variables)model and the SAT (satellite environmental variables) model. The models weredeveloped and validated by dividing the data file into two sets: the data betweenJanuary 2001 and April 2004 were used to construct the models and the databetween May 2004 andMay 2005 were used to validate them. The regression anal- 25ysis for the SATMET and SAT models showed an adjusted R2 of 0.82 and 0.79,respectively. To validate the models, a correlation between the estimates and theobservations was obtained for both the SATMET model (r = 0.57) and the SATmodel (r = 0.64). Both models showed the same rootmean square error (RMSE) of0.04 and, therefore, the same forecasting power. For this reason, these models may 30have applications as decision support tools in assisting public health authorities inthe control of Aedes aegypti and risk management planning programmes.
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 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
Fil: Ludueña Almeida, Francisco. 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: Visintin, Andrés Mario. 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: Scavuzzo, Carlos Marcelo. Comision Nacional de Actividades Espaciales. Instituto de Altos Estudios Espaciales "Mario Gulich"; Argentina
Fil: Lamfri, Mario Alberto. 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. 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
WATER
INDEX
MODELLING
DENGUE
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:11336/268703
Acceder
id CONICETDig_121278bc77664dfc860ff566d4aff44a
oai_identifier_str oai:ri.conicet.gov.ar:11336/268703
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Effectiveness of normalized difference water index in modelling Aedes aegypti house indexEstallo, Elizabet LiliaLudueña Almeida, FranciscoVisintin, Andrés MarioScavuzzo, Carlos MarceloLamfri, Mario AlbertoIntroini, María VirginiaZaidenberg, MarioAlmiron, Walter RicardoWATERINDEXMODELLINGDENGUEhttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1The application of remotely sensed data to public health has increased in Argentinain the past few years, especially to study vector-borne viral diseases such as dengue.The normalized difference vegetation index (NDVI) has been widely used for 15remote sensing of vegetation as well as the brightness temperature for many years.Another environmental variable obtained from satellites is the normalized differencewater index (NDWI) for remote sensing of the status of the vegetationliquid water from space. The aim of the present article was to test the effectivenessof NDWI together with other satellite and meteorological data to develop two 20forecasting models, namely, the SATMET (satellite and meteorological variables)model and the SAT (satellite environmental variables) model. The models weredeveloped and validated by dividing the data file into two sets: the data betweenJanuary 2001 and April 2004 were used to construct the models and the databetween May 2004 andMay 2005 were used to validate them. The regression anal- 25ysis for the SATMET and SAT models showed an adjusted R2 of 0.82 and 0.79,respectively. To validate the models, a correlation between the estimates and theobservations was obtained for both the SATMET model (r = 0.57) and the SATmodel (r = 0.64). Both models showed the same rootmean square error (RMSE) of0.04 and, therefore, the same forecasting power. For this reason, these models may 30have applications as decision support tools in assisting public health authorities inthe control of Aedes aegypti and risk management planning programmes.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 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; ArgentinaFil: Ludueña Almeida, Francisco. 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: Visintin, Andrés Mario. 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: Scavuzzo, Carlos Marcelo. Comision Nacional de Actividades Espaciales. Instituto de Altos Estudios Espaciales "Mario Gulich"; ArgentinaFil: Lamfri, Mario Alberto. 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. 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; ArgentinaTaylor & Francis Ltd2011-12info: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/11336/268703Estallo, Elizabet Lilia; Ludueña Almeida, Francisco; Visintin, Andrés Mario; Scavuzzo, Carlos Marcelo; Lamfri, Mario Alberto; et al.; Effectiveness of normalized difference water index in modelling Aedes aegypti house index; Taylor & Francis Ltd; International Journal of Remote Sensing; 33; 13; 12-2011; 4254-42650143-1161CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://www.tandfonline.com/doi/full/10.1080/01431161.2011.640962info:eu-repo/semantics/altIdentifier/doi/10.1080/01431161.2011.640962info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:43:46Zoai:ri.conicet.gov.ar:11336/268703instacron: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 09:43:46.426CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Effectiveness of normalized difference water index in modelling Aedes aegypti house index
title Effectiveness of normalized difference water index in modelling Aedes aegypti house index
spellingShingle Effectiveness of normalized difference water index in modelling Aedes aegypti house index
Estallo, Elizabet Lilia
WATER
INDEX
MODELLING
DENGUE
title_short Effectiveness of normalized difference water index in modelling Aedes aegypti house index
title_full Effectiveness of normalized difference water index in modelling Aedes aegypti house index
title_fullStr Effectiveness of normalized difference water index in modelling Aedes aegypti house index
title_full_unstemmed Effectiveness of normalized difference water index in modelling Aedes aegypti house index
title_sort Effectiveness of normalized difference water index in modelling Aedes aegypti house index
dc.creator.none.fl_str_mv Estallo, Elizabet Lilia
Ludueña Almeida, Francisco
Visintin, Andrés Mario
Scavuzzo, Carlos Marcelo
Lamfri, Mario Alberto
Introini, María Virginia
Zaidenberg, Mario
Almiron, Walter Ricardo
author Estallo, Elizabet Lilia
author_facet Estallo, Elizabet Lilia
Ludueña Almeida, Francisco
Visintin, Andrés Mario
Scavuzzo, Carlos Marcelo
Lamfri, Mario Alberto
Introini, María Virginia
Zaidenberg, Mario
Almiron, Walter Ricardo
author_role author
author2 Ludueña Almeida, Francisco
Visintin, Andrés Mario
Scavuzzo, Carlos Marcelo
Lamfri, Mario Alberto
Introini, María Virginia
Zaidenberg, Mario
Almiron, Walter Ricardo
author2_role author
author
author
author
author
author
author
dc.subject.none.fl_str_mv WATER
INDEX
MODELLING
DENGUE
topic WATER
INDEX
MODELLING
DENGUE
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv The application of remotely sensed data to public health has increased in Argentinain the past few years, especially to study vector-borne viral diseases such as dengue.The normalized difference vegetation index (NDVI) has been widely used for 15remote sensing of vegetation as well as the brightness temperature for many years.Another environmental variable obtained from satellites is the normalized differencewater index (NDWI) for remote sensing of the status of the vegetationliquid water from space. The aim of the present article was to test the effectivenessof NDWI together with other satellite and meteorological data to develop two 20forecasting models, namely, the SATMET (satellite and meteorological variables)model and the SAT (satellite environmental variables) model. The models weredeveloped and validated by dividing the data file into two sets: the data betweenJanuary 2001 and April 2004 were used to construct the models and the databetween May 2004 andMay 2005 were used to validate them. The regression anal- 25ysis for the SATMET and SAT models showed an adjusted R2 of 0.82 and 0.79,respectively. To validate the models, a correlation between the estimates and theobservations was obtained for both the SATMET model (r = 0.57) and the SATmodel (r = 0.64). Both models showed the same rootmean square error (RMSE) of0.04 and, therefore, the same forecasting power. For this reason, these models may 30have applications as decision support tools in assisting public health authorities inthe control of Aedes aegypti and risk management planning programmes.
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 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
Fil: Ludueña Almeida, Francisco. 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: Visintin, Andrés Mario. 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: Scavuzzo, Carlos Marcelo. Comision Nacional de Actividades Espaciales. Instituto de Altos Estudios Espaciales "Mario Gulich"; Argentina
Fil: Lamfri, Mario Alberto. 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. 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 The application of remotely sensed data to public health has increased in Argentinain the past few years, especially to study vector-borne viral diseases such as dengue.The normalized difference vegetation index (NDVI) has been widely used for 15remote sensing of vegetation as well as the brightness temperature for many years.Another environmental variable obtained from satellites is the normalized differencewater index (NDWI) for remote sensing of the status of the vegetationliquid water from space. The aim of the present article was to test the effectivenessof NDWI together with other satellite and meteorological data to develop two 20forecasting models, namely, the SATMET (satellite and meteorological variables)model and the SAT (satellite environmental variables) model. The models weredeveloped and validated by dividing the data file into two sets: the data betweenJanuary 2001 and April 2004 were used to construct the models and the databetween May 2004 andMay 2005 were used to validate them. The regression anal- 25ysis for the SATMET and SAT models showed an adjusted R2 of 0.82 and 0.79,respectively. To validate the models, a correlation between the estimates and theobservations was obtained for both the SATMET model (r = 0.57) and the SATmodel (r = 0.64). Both models showed the same rootmean square error (RMSE) of0.04 and, therefore, the same forecasting power. For this reason, these models may 30have applications as decision support tools in assisting public health authorities inthe control of Aedes aegypti and risk management planning programmes.
publishDate 2011
dc.date.none.fl_str_mv 2011-12
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/11336/268703
Estallo, Elizabet Lilia; Ludueña Almeida, Francisco; Visintin, Andrés Mario; Scavuzzo, Carlos Marcelo; Lamfri, Mario Alberto; et al.; Effectiveness of normalized difference water index in modelling Aedes aegypti house index; Taylor & Francis Ltd; International Journal of Remote Sensing; 33; 13; 12-2011; 4254-4265
0143-1161
CONICET Digital
CONICET
url http://hdl.handle.net/11336/268703
identifier_str_mv Estallo, Elizabet Lilia; Ludueña Almeida, Francisco; Visintin, Andrés Mario; Scavuzzo, Carlos Marcelo; Lamfri, Mario Alberto; et al.; Effectiveness of normalized difference water index in modelling Aedes aegypti house index; Taylor & Francis Ltd; International Journal of Remote Sensing; 33; 13; 12-2011; 4254-4265
0143-1161
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.tandfonline.com/doi/full/10.1080/01431161.2011.640962
info:eu-repo/semantics/altIdentifier/doi/10.1080/01431161.2011.640962
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 Taylor & Francis Ltd
publisher.none.fl_str_mv Taylor & Francis Ltd
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_ 1844613377221984256
score 13.070432

Publicaciones similares