Spatiotemporal dynamics of Lutzomyia longipalpis and macro-habitat characterization using satellite images in a leishmaniasis-endemic city in Argentina

Autores
Berrozpe, Pablo Eduardo; Lamattina, Daniela; Santini, Maria Soledad; Araujo, Analia Vanesa; Torrusio, Sandra Edith; Salomón, Oscar Daniel
Año de publicación
2018
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The spatiotemporal population dynamics of Lutzomyia longipalpis (Lutz & Neiva, 1912) (Diptera: Psychodidae) were evaluated in a city in Argentina in which visceral leishmaniasis is endemic. Over 14 sampling sessions, 5244 specimens of five species of Phlebotominae (Diptera: Psychodidae) were captured, of which 2458 (46.87%) specimens were L. longipalpis. Generalized linear models were constructed to evaluate the associations between L. longipalpis abundance and explanatory variables derived from satellite images. The spatial variable ‘stratum’ and the temporal variable ‘season’ were also included in the models. Three variables were found to have significant associations: the normalized difference vegetation index; land surface temperature, and low urban coverage. The last two of these were associated with L. longipalpis abundance only during summer and winter, respectively. This variation between seasons supports the development of models that include temporal variables because models of distributions of the abundance of a species may show different critical variables according to the climatic period of the year. Abundance decreased gradually towards the downtown area, which suggests that L. longipalpis responds to a meta-population structure, in which rural–periurban source populations that persist over time may colonize adjacent areas. This information allows for a spatiotemporal stratification of risk, which provides public health authorities with a valuable tool to help optimize prevention measures against visceral leishmaniasis.
Fil: Berrozpe, Pablo Eduardo. Ministerio de Salud de la Nación. Instituto Nacional de Medicina Tropical; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste; Argentina
Fil: Lamattina, Daniela. Ministerio de Salud de la Nación. Instituto Nacional de Medicina Tropical; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste; Argentina
Fil: Santini, Maria Soledad. Ministerio de Salud de la Nación. Centro Nacional de Diagnóstico e Investigaciones en Endemo-Epidemias; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste; Argentina
Fil: Araujo, Analia Vanesa. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste; Argentina. Universidad Nacional del Nordeste. Facultad de Ciencias Exactas, Naturales y Agrimensura; Argentina
Fil: Torrusio, Sandra Edith. Comision Nacional de Actividades Espaciales; Argentina
Fil: Salomón, Oscar Daniel. Ministerio de Salud de la Nación. Instituto Nacional de Medicina Tropical; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste; Argentina
Materia
GENERALIZED LINEAR MODELS
LAND SURFACE TEMPERATURE
LEISHMANIA INFANTUM
NORMALIZED DIFFERENCE VEGETATION INDEX
PHLEBOTOMINAE
URBAN COVERAGE
VEGETATION COVERAGE
VISCERAL LEISHMANIASIS
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:11336/105556
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/105556
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Spatiotemporal dynamics of Lutzomyia longipalpis and macro-habitat characterization using satellite images in a leishmaniasis-endemic city in ArgentinaBerrozpe, Pablo EduardoLamattina, DanielaSantini, Maria SoledadAraujo, Analia VanesaTorrusio, Sandra EdithSalomón, Oscar DanielGENERALIZED LINEAR MODELSLAND SURFACE TEMPERATURELEISHMANIA INFANTUMNORMALIZED DIFFERENCE VEGETATION INDEXPHLEBOTOMINAEURBAN COVERAGEVEGETATION COVERAGEVISCERAL LEISHMANIASIShttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1The spatiotemporal population dynamics of Lutzomyia longipalpis (Lutz & Neiva, 1912) (Diptera: Psychodidae) were evaluated in a city in Argentina in which visceral leishmaniasis is endemic. Over 14 sampling sessions, 5244 specimens of five species of Phlebotominae (Diptera: Psychodidae) were captured, of which 2458 (46.87%) specimens were L. longipalpis. Generalized linear models were constructed to evaluate the associations between L. longipalpis abundance and explanatory variables derived from satellite images. The spatial variable ‘stratum’ and the temporal variable ‘season’ were also included in the models. Three variables were found to have significant associations: the normalized difference vegetation index; land surface temperature, and low urban coverage. The last two of these were associated with L. longipalpis abundance only during summer and winter, respectively. This variation between seasons supports the development of models that include temporal variables because models of distributions of the abundance of a species may show different critical variables according to the climatic period of the year. Abundance decreased gradually towards the downtown area, which suggests that L. longipalpis responds to a meta-population structure, in which rural–periurban source populations that persist over time may colonize adjacent areas. This information allows for a spatiotemporal stratification of risk, which provides public health authorities with a valuable tool to help optimize prevention measures against visceral leishmaniasis.Fil: Berrozpe, Pablo Eduardo. Ministerio de Salud de la Nación. Instituto Nacional de Medicina Tropical; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste; ArgentinaFil: Lamattina, Daniela. Ministerio de Salud de la Nación. Instituto Nacional de Medicina Tropical; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste; ArgentinaFil: Santini, Maria Soledad. Ministerio de Salud de la Nación. Centro Nacional de Diagnóstico e Investigaciones en Endemo-Epidemias; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste; ArgentinaFil: Araujo, Analia Vanesa. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste; Argentina. Universidad Nacional del Nordeste. Facultad de Ciencias Exactas, Naturales y Agrimensura; ArgentinaFil: Torrusio, Sandra Edith. Comision Nacional de Actividades Espaciales; ArgentinaFil: Salomón, Oscar Daniel. Ministerio de Salud de la Nación. Instituto Nacional de Medicina Tropical; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste; ArgentinaWiley Blackwell Publishing, Inc2018-09-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/105556Berrozpe, Pablo Eduardo; Lamattina, Daniela; Santini, Maria Soledad; Araujo, Analia Vanesa; Torrusio, Sandra Edith; et al.; Spatiotemporal dynamics of Lutzomyia longipalpis and macro-habitat characterization using satellite images in a leishmaniasis-endemic city in Argentina; Wiley Blackwell Publishing, Inc; Medical and Veterinary Entomology; 33; 1; 9-9-2018; 89-980269-283XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1111/mve.12334info:eu-repo/semantics/altIdentifier/url/http://doi.wiley.com/10.1111/mve.12334info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:36:26Zoai:ri.conicet.gov.ar:11336/105556instacron: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 09:36:26.757CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Spatiotemporal dynamics of Lutzomyia longipalpis and macro-habitat characterization using satellite images in a leishmaniasis-endemic city in Argentina
title Spatiotemporal dynamics of Lutzomyia longipalpis and macro-habitat characterization using satellite images in a leishmaniasis-endemic city in Argentina
spellingShingle Spatiotemporal dynamics of Lutzomyia longipalpis and macro-habitat characterization using satellite images in a leishmaniasis-endemic city in Argentina
Berrozpe, Pablo Eduardo
GENERALIZED LINEAR MODELS
LAND SURFACE TEMPERATURE
LEISHMANIA INFANTUM
NORMALIZED DIFFERENCE VEGETATION INDEX
PHLEBOTOMINAE
URBAN COVERAGE
VEGETATION COVERAGE
VISCERAL LEISHMANIASIS
title_short Spatiotemporal dynamics of Lutzomyia longipalpis and macro-habitat characterization using satellite images in a leishmaniasis-endemic city in Argentina
title_full Spatiotemporal dynamics of Lutzomyia longipalpis and macro-habitat characterization using satellite images in a leishmaniasis-endemic city in Argentina
title_fullStr Spatiotemporal dynamics of Lutzomyia longipalpis and macro-habitat characterization using satellite images in a leishmaniasis-endemic city in Argentina
title_full_unstemmed Spatiotemporal dynamics of Lutzomyia longipalpis and macro-habitat characterization using satellite images in a leishmaniasis-endemic city in Argentina
title_sort Spatiotemporal dynamics of Lutzomyia longipalpis and macro-habitat characterization using satellite images in a leishmaniasis-endemic city in Argentina
dc.creator.none.fl_str_mv Berrozpe, Pablo Eduardo
Lamattina, Daniela
Santini, Maria Soledad
Araujo, Analia Vanesa
Torrusio, Sandra Edith
Salomón, Oscar Daniel
author Berrozpe, Pablo Eduardo
author_facet Berrozpe, Pablo Eduardo
Lamattina, Daniela
Santini, Maria Soledad
Araujo, Analia Vanesa
Torrusio, Sandra Edith
Salomón, Oscar Daniel
author_role author
author2 Lamattina, Daniela
Santini, Maria Soledad
Araujo, Analia Vanesa
Torrusio, Sandra Edith
Salomón, Oscar Daniel
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv GENERALIZED LINEAR MODELS
LAND SURFACE TEMPERATURE
LEISHMANIA INFANTUM
NORMALIZED DIFFERENCE VEGETATION INDEX
PHLEBOTOMINAE
URBAN COVERAGE
VEGETATION COVERAGE
VISCERAL LEISHMANIASIS
topic GENERALIZED LINEAR MODELS
LAND SURFACE TEMPERATURE
LEISHMANIA INFANTUM
NORMALIZED DIFFERENCE VEGETATION INDEX
PHLEBOTOMINAE
URBAN COVERAGE
VEGETATION COVERAGE
VISCERAL LEISHMANIASIS
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 spatiotemporal population dynamics of Lutzomyia longipalpis (Lutz & Neiva, 1912) (Diptera: Psychodidae) were evaluated in a city in Argentina in which visceral leishmaniasis is endemic. Over 14 sampling sessions, 5244 specimens of five species of Phlebotominae (Diptera: Psychodidae) were captured, of which 2458 (46.87%) specimens were L. longipalpis. Generalized linear models were constructed to evaluate the associations between L. longipalpis abundance and explanatory variables derived from satellite images. The spatial variable ‘stratum’ and the temporal variable ‘season’ were also included in the models. Three variables were found to have significant associations: the normalized difference vegetation index; land surface temperature, and low urban coverage. The last two of these were associated with L. longipalpis abundance only during summer and winter, respectively. This variation between seasons supports the development of models that include temporal variables because models of distributions of the abundance of a species may show different critical variables according to the climatic period of the year. Abundance decreased gradually towards the downtown area, which suggests that L. longipalpis responds to a meta-population structure, in which rural–periurban source populations that persist over time may colonize adjacent areas. This information allows for a spatiotemporal stratification of risk, which provides public health authorities with a valuable tool to help optimize prevention measures against visceral leishmaniasis.
Fil: Berrozpe, Pablo Eduardo. Ministerio de Salud de la Nación. Instituto Nacional de Medicina Tropical; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste; Argentina
Fil: Lamattina, Daniela. Ministerio de Salud de la Nación. Instituto Nacional de Medicina Tropical; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste; Argentina
Fil: Santini, Maria Soledad. Ministerio de Salud de la Nación. Centro Nacional de Diagnóstico e Investigaciones en Endemo-Epidemias; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste; Argentina
Fil: Araujo, Analia Vanesa. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste; Argentina. Universidad Nacional del Nordeste. Facultad de Ciencias Exactas, Naturales y Agrimensura; Argentina
Fil: Torrusio, Sandra Edith. Comision Nacional de Actividades Espaciales; Argentina
Fil: Salomón, Oscar Daniel. Ministerio de Salud de la Nación. Instituto Nacional de Medicina Tropical; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste; Argentina
description The spatiotemporal population dynamics of Lutzomyia longipalpis (Lutz & Neiva, 1912) (Diptera: Psychodidae) were evaluated in a city in Argentina in which visceral leishmaniasis is endemic. Over 14 sampling sessions, 5244 specimens of five species of Phlebotominae (Diptera: Psychodidae) were captured, of which 2458 (46.87%) specimens were L. longipalpis. Generalized linear models were constructed to evaluate the associations between L. longipalpis abundance and explanatory variables derived from satellite images. The spatial variable ‘stratum’ and the temporal variable ‘season’ were also included in the models. Three variables were found to have significant associations: the normalized difference vegetation index; land surface temperature, and low urban coverage. The last two of these were associated with L. longipalpis abundance only during summer and winter, respectively. This variation between seasons supports the development of models that include temporal variables because models of distributions of the abundance of a species may show different critical variables according to the climatic period of the year. Abundance decreased gradually towards the downtown area, which suggests that L. longipalpis responds to a meta-population structure, in which rural–periurban source populations that persist over time may colonize adjacent areas. This information allows for a spatiotemporal stratification of risk, which provides public health authorities with a valuable tool to help optimize prevention measures against visceral leishmaniasis.
publishDate 2018
dc.date.none.fl_str_mv 2018-09-09
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/11336/105556
Berrozpe, Pablo Eduardo; Lamattina, Daniela; Santini, Maria Soledad; Araujo, Analia Vanesa; Torrusio, Sandra Edith; et al.; Spatiotemporal dynamics of Lutzomyia longipalpis and macro-habitat characterization using satellite images in a leishmaniasis-endemic city in Argentina; Wiley Blackwell Publishing, Inc; Medical and Veterinary Entomology; 33; 1; 9-9-2018; 89-98
0269-283X
CONICET Digital
CONICET
url http://hdl.handle.net/11336/105556
identifier_str_mv Berrozpe, Pablo Eduardo; Lamattina, Daniela; Santini, Maria Soledad; Araujo, Analia Vanesa; Torrusio, Sandra Edith; et al.; Spatiotemporal dynamics of Lutzomyia longipalpis and macro-habitat characterization using satellite images in a leishmaniasis-endemic city in Argentina; Wiley Blackwell Publishing, Inc; Medical and Veterinary Entomology; 33; 1; 9-9-2018; 89-98
0269-283X
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1111/mve.12334
info:eu-repo/semantics/altIdentifier/url/http://doi.wiley.com/10.1111/mve.12334
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
dc.publisher.none.fl_str_mv Wiley Blackwell Publishing, Inc
publisher.none.fl_str_mv Wiley Blackwell Publishing, Inc
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 13.070432

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