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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/164357
Ver los metadatos del registro completo
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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 Técnicas2025-09-29T10:17:48Zoai: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:34982025-09-29 10:17:49.119CONICET 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 |
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CONICET Digital (CONICET) |
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CONICET Digital (CONICET) |
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Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
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dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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13.070432 |