Urban environmental clustering to assess the spatial dynamics of Aedes aegypti breeding sites

Autores
Albrieu Llinás, Guillermo; Espinosa, Manuel Osvaldo; Quaglia, Agustín Ignacio Eugenio; Abril, Marcelo; Scavuzzo, Carlos Marcelo
Año de publicación
2018
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The identification of Aedes aegypti breeding hotspots in urban areas is crucial for the rational design of control strategies against this disease vector. Remote sensing and geographic information systems offer valuable tools for mapping habitat suitability of a given area. However, predicting species occurrences by means of probability distribution maps based on transversal entomological surveys has limited utility for local authorities. The aim of the present study was to carefully examine the temporal evolution of the number of houses infested with immature stages of Ae. aegypti in each individual neighbourhood and to explore the value of producing environmental clusters generated with information provided by remotely sensed variables to explain the observed differential temporal behaviour. Entomological surveys were conducted between 2011 and 2013 throughout a small town in Argentina registering the number of houses with containers harbouring immature stages of Ae. aegypti. A SPOT 5 satellite image was used to obtain land cover variables, which were subsequently submitted to k-means partitioning for grouping neighbourhoods into four environmental clusters. Finally, a generalized linear model was fitted showing that the number of houses found to be positive for Ae. aegypti was jointly affected by the interaction between environmental clusters and the year of sampling. Moreover, the number of positive houses in one of the clusters was 9.5 times higher (P<0.005, SE=0.37) in 2013 than in 2012, but we did not observe any other statistically significant increases.
Fil: Albrieu Llinás, Guillermo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Universidad Nacional de Córdoba. Facultad de Medicina. Instituto de Virología Dr. J. M. Vanella; Argentina
Fil: Espinosa, Manuel Osvaldo. Fundación Mundo Sano; Argentina
Fil: Quaglia, Agustín Ignacio Eugenio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Universidad Nacional de Córdoba. Facultad de Medicina. Instituto de Virología Dr. J. M. Vanella; Argentina. University of Florida; Estados Unidos
Fil: Abril, Marcelo. Fundación Mundo Sano; Argentina
Fil: Scavuzzo, Carlos Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Comisión Nacional de Actividades Espaciales. Instituto de Altos Estudios Espaciales "Mario Gulich"; Argentina. Fundación Mundo Sano; Argentina
Materia
AEDES AEGYPTI
ARGENTINA
ENVIRONMENTAL CLUSTERING
SPATIO-TEMPORAL DYNAMICS
URBAN CLASSIFICATION
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/164357
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/164357
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Urban environmental clustering to assess the spatial dynamics of Aedes aegypti breeding sitesAlbrieu Llinás, GuillermoEspinosa, Manuel OsvaldoQuaglia, Agustín Ignacio EugenioAbril, MarceloScavuzzo, Carlos MarceloAEDES AEGYPTIARGENTINAENVIRONMENTAL CLUSTERINGSPATIO-TEMPORAL DYNAMICSURBAN CLASSIFICATIONhttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1The identification of Aedes aegypti breeding hotspots in urban areas is crucial for the rational design of control strategies against this disease vector. Remote sensing and geographic information systems offer valuable tools for mapping habitat suitability of a given area. However, predicting species occurrences by means of probability distribution maps based on transversal entomological surveys has limited utility for local authorities. The aim of the present study was to carefully examine the temporal evolution of the number of houses infested with immature stages of Ae. aegypti in each individual neighbourhood and to explore the value of producing environmental clusters generated with information provided by remotely sensed variables to explain the observed differential temporal behaviour. Entomological surveys were conducted between 2011 and 2013 throughout a small town in Argentina registering the number of houses with containers harbouring immature stages of Ae. aegypti. A SPOT 5 satellite image was used to obtain land cover variables, which were subsequently submitted to k-means partitioning for grouping neighbourhoods into four environmental clusters. Finally, a generalized linear model was fitted showing that the number of houses found to be positive for Ae. aegypti was jointly affected by the interaction between environmental clusters and the year of sampling. Moreover, the number of positive houses in one of the clusters was 9.5 times higher (P<0.005, SE=0.37) in 2013 than in 2012, but we did not observe any other statistically significant increases.Fil: Albrieu Llinás, Guillermo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Universidad Nacional de Córdoba. Facultad de Medicina. Instituto de Virología Dr. J. M. Vanella; ArgentinaFil: Espinosa, Manuel Osvaldo. Fundación Mundo Sano; ArgentinaFil: Quaglia, Agustín Ignacio Eugenio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Universidad Nacional de Córdoba. Facultad de Medicina. Instituto de Virología Dr. J. M. Vanella; Argentina. University of Florida; Estados UnidosFil: Abril, Marcelo. Fundación Mundo Sano; ArgentinaFil: Scavuzzo, Carlos Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Comisión Nacional de Actividades Espaciales. Instituto de Altos Estudios Espaciales "Mario Gulich"; Argentina. Fundación Mundo Sano; ArgentinaUniv Naples Federico Ii2018-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/164357Albrieu Llinás, Guillermo; Espinosa, Manuel Osvaldo; Quaglia, Agustín Ignacio Eugenio; Abril, Marcelo; Scavuzzo, Carlos Marcelo; Urban environmental clustering to assess the spatial dynamics of Aedes aegypti breeding sites; Univ Naples Federico Ii; Geospatial Health; 13; 1; 5-2018; 135-1421827-19871970-7096CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.geospatialhealth.net/index.php/gh/article/view/654info:eu-repo/semantics/altIdentifier/doi/10.4081/gh.2018.654info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T15:15:01Zoai:ri.conicet.gov.ar:11336/164357instacron: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:34982025-10-15 15:15:01.996CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Urban environmental clustering to assess the spatial dynamics of Aedes aegypti breeding sites
title Urban environmental clustering to assess the spatial dynamics of Aedes aegypti breeding sites
spellingShingle Urban environmental clustering to assess the spatial dynamics of Aedes aegypti breeding sites
Albrieu Llinás, Guillermo
AEDES AEGYPTI
ARGENTINA
ENVIRONMENTAL CLUSTERING
SPATIO-TEMPORAL DYNAMICS
URBAN CLASSIFICATION
title_short Urban environmental clustering to assess the spatial dynamics of Aedes aegypti breeding sites
title_full Urban environmental clustering to assess the spatial dynamics of Aedes aegypti breeding sites
title_fullStr Urban environmental clustering to assess the spatial dynamics of Aedes aegypti breeding sites
title_full_unstemmed Urban environmental clustering to assess the spatial dynamics of Aedes aegypti breeding sites
title_sort Urban environmental clustering to assess the spatial dynamics of Aedes aegypti breeding sites
dc.creator.none.fl_str_mv Albrieu Llinás, Guillermo
Espinosa, Manuel Osvaldo
Quaglia, Agustín Ignacio Eugenio
Abril, Marcelo
Scavuzzo, Carlos Marcelo
author Albrieu Llinás, Guillermo
author_facet Albrieu Llinás, Guillermo
Espinosa, Manuel Osvaldo
Quaglia, Agustín Ignacio Eugenio
Abril, Marcelo
Scavuzzo, Carlos Marcelo
author_role author
author2 Espinosa, Manuel Osvaldo
Quaglia, Agustín Ignacio Eugenio
Abril, Marcelo
Scavuzzo, Carlos Marcelo
author2_role author
author
author
author
dc.subject.none.fl_str_mv AEDES AEGYPTI
ARGENTINA
ENVIRONMENTAL CLUSTERING
SPATIO-TEMPORAL DYNAMICS
URBAN CLASSIFICATION
topic AEDES AEGYPTI
ARGENTINA
ENVIRONMENTAL CLUSTERING
SPATIO-TEMPORAL DYNAMICS
URBAN CLASSIFICATION
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 identification of Aedes aegypti breeding hotspots in urban areas is crucial for the rational design of control strategies against this disease vector. Remote sensing and geographic information systems offer valuable tools for mapping habitat suitability of a given area. However, predicting species occurrences by means of probability distribution maps based on transversal entomological surveys has limited utility for local authorities. The aim of the present study was to carefully examine the temporal evolution of the number of houses infested with immature stages of Ae. aegypti in each individual neighbourhood and to explore the value of producing environmental clusters generated with information provided by remotely sensed variables to explain the observed differential temporal behaviour. Entomological surveys were conducted between 2011 and 2013 throughout a small town in Argentina registering the number of houses with containers harbouring immature stages of Ae. aegypti. A SPOT 5 satellite image was used to obtain land cover variables, which were subsequently submitted to k-means partitioning for grouping neighbourhoods into four environmental clusters. Finally, a generalized linear model was fitted showing that the number of houses found to be positive for Ae. aegypti was jointly affected by the interaction between environmental clusters and the year of sampling. Moreover, the number of positive houses in one of the clusters was 9.5 times higher (P<0.005, SE=0.37) in 2013 than in 2012, but we did not observe any other statistically significant increases.
Fil: Albrieu Llinás, Guillermo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Universidad Nacional de Córdoba. Facultad de Medicina. Instituto de Virología Dr. J. M. Vanella; Argentina
Fil: Espinosa, Manuel Osvaldo. Fundación Mundo Sano; Argentina
Fil: Quaglia, Agustín Ignacio Eugenio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Universidad Nacional de Córdoba. Facultad de Medicina. Instituto de Virología Dr. J. M. Vanella; Argentina. University of Florida; Estados Unidos
Fil: Abril, Marcelo. Fundación Mundo Sano; Argentina
Fil: Scavuzzo, Carlos Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Comisión Nacional de Actividades Espaciales. Instituto de Altos Estudios Espaciales "Mario Gulich"; Argentina. Fundación Mundo Sano; Argentina
description The identification of Aedes aegypti breeding hotspots in urban areas is crucial for the rational design of control strategies against this disease vector. Remote sensing and geographic information systems offer valuable tools for mapping habitat suitability of a given area. However, predicting species occurrences by means of probability distribution maps based on transversal entomological surveys has limited utility for local authorities. The aim of the present study was to carefully examine the temporal evolution of the number of houses infested with immature stages of Ae. aegypti in each individual neighbourhood and to explore the value of producing environmental clusters generated with information provided by remotely sensed variables to explain the observed differential temporal behaviour. Entomological surveys were conducted between 2011 and 2013 throughout a small town in Argentina registering the number of houses with containers harbouring immature stages of Ae. aegypti. A SPOT 5 satellite image was used to obtain land cover variables, which were subsequently submitted to k-means partitioning for grouping neighbourhoods into four environmental clusters. Finally, a generalized linear model was fitted showing that the number of houses found to be positive for Ae. aegypti was jointly affected by the interaction between environmental clusters and the year of sampling. Moreover, the number of positive houses in one of the clusters was 9.5 times higher (P<0.005, SE=0.37) in 2013 than in 2012, but we did not observe any other statistically significant increases.
publishDate 2018
dc.date.none.fl_str_mv 2018-05
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/11336/164357
Albrieu Llinás, Guillermo; Espinosa, Manuel Osvaldo; Quaglia, Agustín Ignacio Eugenio; Abril, Marcelo; Scavuzzo, Carlos Marcelo; Urban environmental clustering to assess the spatial dynamics of Aedes aegypti breeding sites; Univ Naples Federico Ii; Geospatial Health; 13; 1; 5-2018; 135-142
1827-1987
1970-7096
CONICET Digital
CONICET
url http://hdl.handle.net/11336/164357
identifier_str_mv Albrieu Llinás, Guillermo; Espinosa, Manuel Osvaldo; Quaglia, Agustín Ignacio Eugenio; Abril, Marcelo; Scavuzzo, Carlos Marcelo; Urban environmental clustering to assess the spatial dynamics of Aedes aegypti breeding sites; Univ Naples Federico Ii; Geospatial Health; 13; 1; 5-2018; 135-142
1827-1987
1970-7096
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.geospatialhealth.net/index.php/gh/article/view/654
info:eu-repo/semantics/altIdentifier/doi/10.4081/gh.2018.654
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Univ Naples Federico Ii
publisher.none.fl_str_mv Univ Naples Federico Ii
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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score 13.22299

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