Ecological characterization of a cutaneous leishmaniasis outbreak through remotely sensed land cover changes

Autores
Andreo, Verónica Carolina; Rosa, Juan; Ramos, Karina; Salomón, Oscar Daniel
Año de publicación
2022
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In this work we assessed the environmental factors associated with the spatial distribution of a cutaneous leishmaniasis (CL) outbreak during 2015-2016 in north-eastern Argentina to understand its typical or atypical eco-epidemiological pattern. We combined locations of human CL cases with relevant predictors derived from analysis of remote sensing imagery in the framework of ecological niche modelling and trained MaxEnt models with cross-validation for predictors estimated at different buffer areas relevant to CL vectors (50 and 250 m radii). To account for the timing of biological phenomena, we considered environmental changes occurring in two periods, 2014-2015 and 2015-2016. The remote sensing analysis identified land cover changes in the surroundings of CL cases, mostly related to new urbanization and flooding. The distance to such changes was the most important variable in most models. The weighted average map denoted higher suitability for CL in the outskirts of the city of Corrientes and in areas close to environmental changes. Our results point to a scenario consistent with a typical CL outbreak, i.e. changes in land use or land cover are the main triggering factor and most affected people live or work in border habitats.
Fil: Andreo, Verónica Carolina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Rosa, Juan. Universidad Nacional del Nordeste. Instituto de Medicina Regional; Argentina
Fil: Ramos, Karina. Provincia de Corrientes. Ministerio de Salud Publica; Argentina
Fil: Salomón, Oscar Daniel. Administracion Nacional de Laboratorios E Institutos de Salud "dr. Carlos G. Malbran". Instituto Nacional de Medicina Tropical.; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste; Argentina
Materia
ARGENTINA
CUTANEOUS LEISHMANIASIS
DISEASE ECOLOGY
LAND USE AND LAND COVER CHANGE
REMOTE SENSING
SPECIES DISTRIBUTION MODELS
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:11336/215702
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Ecological characterization of a cutaneous leishmaniasis outbreak through remotely sensed land cover changesAndreo, Verónica CarolinaRosa, JuanRamos, KarinaSalomón, Oscar DanielARGENTINACUTANEOUS LEISHMANIASISDISEASE ECOLOGYLAND USE AND LAND COVER CHANGEREMOTE SENSINGSPECIES DISTRIBUTION MODELShttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1https://purl.org/becyt/ford/3.3https://purl.org/becyt/ford/3In this work we assessed the environmental factors associated with the spatial distribution of a cutaneous leishmaniasis (CL) outbreak during 2015-2016 in north-eastern Argentina to understand its typical or atypical eco-epidemiological pattern. We combined locations of human CL cases with relevant predictors derived from analysis of remote sensing imagery in the framework of ecological niche modelling and trained MaxEnt models with cross-validation for predictors estimated at different buffer areas relevant to CL vectors (50 and 250 m radii). To account for the timing of biological phenomena, we considered environmental changes occurring in two periods, 2014-2015 and 2015-2016. The remote sensing analysis identified land cover changes in the surroundings of CL cases, mostly related to new urbanization and flooding. The distance to such changes was the most important variable in most models. The weighted average map denoted higher suitability for CL in the outskirts of the city of Corrientes and in areas close to environmental changes. Our results point to a scenario consistent with a typical CL outbreak, i.e. changes in land use or land cover are the main triggering factor and most affected people live or work in border habitats.Fil: Andreo, Verónica Carolina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Rosa, Juan. Universidad Nacional del Nordeste. Instituto de Medicina Regional; ArgentinaFil: Ramos, Karina. Provincia de Corrientes. Ministerio de Salud Publica; ArgentinaFil: Salomón, Oscar Daniel. Administracion Nacional de Laboratorios E Institutos de Salud "dr. Carlos G. Malbran". Instituto Nacional de Medicina Tropical.; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste; ArgentinaUniv Naples Federico Ii2022-05info: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/11336/215702Andreo, Verónica Carolina; Rosa, Juan; Ramos, Karina; Salomón, Oscar Daniel; Ecological characterization of a cutaneous leishmaniasis outbreak through remotely sensed land cover changes; Univ Naples Federico Ii; Geospatial Health; 17; 1; 5-2022; 1-141827-1987CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.geospatialhealth.net/index.php/gh/article/view/1033info:eu-repo/semantics/altIdentifier/doi/10.4081/gh.2022.1033info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T11:37:07Zoai:ri.conicet.gov.ar:11336/215702instacron: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:34982025-10-22 11:37:07.781CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Ecological characterization of a cutaneous leishmaniasis outbreak through remotely sensed land cover changes
title Ecological characterization of a cutaneous leishmaniasis outbreak through remotely sensed land cover changes
spellingShingle Ecological characterization of a cutaneous leishmaniasis outbreak through remotely sensed land cover changes
Andreo, Verónica Carolina
ARGENTINA
CUTANEOUS LEISHMANIASIS
DISEASE ECOLOGY
LAND USE AND LAND COVER CHANGE
REMOTE SENSING
SPECIES DISTRIBUTION MODELS
title_short Ecological characterization of a cutaneous leishmaniasis outbreak through remotely sensed land cover changes
title_full Ecological characterization of a cutaneous leishmaniasis outbreak through remotely sensed land cover changes
title_fullStr Ecological characterization of a cutaneous leishmaniasis outbreak through remotely sensed land cover changes
title_full_unstemmed Ecological characterization of a cutaneous leishmaniasis outbreak through remotely sensed land cover changes
title_sort Ecological characterization of a cutaneous leishmaniasis outbreak through remotely sensed land cover changes
dc.creator.none.fl_str_mv Andreo, Verónica Carolina
Rosa, Juan
Ramos, Karina
Salomón, Oscar Daniel
author Andreo, Verónica Carolina
author_facet Andreo, Verónica Carolina
Rosa, Juan
Ramos, Karina
Salomón, Oscar Daniel
author_role author
author2 Rosa, Juan
Ramos, Karina
Salomón, Oscar Daniel
author2_role author
author
author
dc.subject.none.fl_str_mv ARGENTINA
CUTANEOUS LEISHMANIASIS
DISEASE ECOLOGY
LAND USE AND LAND COVER CHANGE
REMOTE SENSING
SPECIES DISTRIBUTION MODELS
topic ARGENTINA
CUTANEOUS LEISHMANIASIS
DISEASE ECOLOGY
LAND USE AND LAND COVER CHANGE
REMOTE SENSING
SPECIES DISTRIBUTION MODELS
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
https://purl.org/becyt/ford/3.3
https://purl.org/becyt/ford/3
dc.description.none.fl_txt_mv In this work we assessed the environmental factors associated with the spatial distribution of a cutaneous leishmaniasis (CL) outbreak during 2015-2016 in north-eastern Argentina to understand its typical or atypical eco-epidemiological pattern. We combined locations of human CL cases with relevant predictors derived from analysis of remote sensing imagery in the framework of ecological niche modelling and trained MaxEnt models with cross-validation for predictors estimated at different buffer areas relevant to CL vectors (50 and 250 m radii). To account for the timing of biological phenomena, we considered environmental changes occurring in two periods, 2014-2015 and 2015-2016. The remote sensing analysis identified land cover changes in the surroundings of CL cases, mostly related to new urbanization and flooding. The distance to such changes was the most important variable in most models. The weighted average map denoted higher suitability for CL in the outskirts of the city of Corrientes and in areas close to environmental changes. Our results point to a scenario consistent with a typical CL outbreak, i.e. changes in land use or land cover are the main triggering factor and most affected people live or work in border habitats.
Fil: Andreo, Verónica Carolina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Rosa, Juan. Universidad Nacional del Nordeste. Instituto de Medicina Regional; Argentina
Fil: Ramos, Karina. Provincia de Corrientes. Ministerio de Salud Publica; Argentina
Fil: Salomón, Oscar Daniel. Administracion Nacional de Laboratorios E Institutos de Salud "dr. Carlos G. Malbran". Instituto Nacional de Medicina Tropical.; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste; Argentina
description In this work we assessed the environmental factors associated with the spatial distribution of a cutaneous leishmaniasis (CL) outbreak during 2015-2016 in north-eastern Argentina to understand its typical or atypical eco-epidemiological pattern. We combined locations of human CL cases with relevant predictors derived from analysis of remote sensing imagery in the framework of ecological niche modelling and trained MaxEnt models with cross-validation for predictors estimated at different buffer areas relevant to CL vectors (50 and 250 m radii). To account for the timing of biological phenomena, we considered environmental changes occurring in two periods, 2014-2015 and 2015-2016. The remote sensing analysis identified land cover changes in the surroundings of CL cases, mostly related to new urbanization and flooding. The distance to such changes was the most important variable in most models. The weighted average map denoted higher suitability for CL in the outskirts of the city of Corrientes and in areas close to environmental changes. Our results point to a scenario consistent with a typical CL outbreak, i.e. changes in land use or land cover are the main triggering factor and most affected people live or work in border habitats.
publishDate 2022
dc.date.none.fl_str_mv 2022-05
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/11336/215702
Andreo, Verónica Carolina; Rosa, Juan; Ramos, Karina; Salomón, Oscar Daniel; Ecological characterization of a cutaneous leishmaniasis outbreak through remotely sensed land cover changes; Univ Naples Federico Ii; Geospatial Health; 17; 1; 5-2022; 1-14
1827-1987
CONICET Digital
CONICET
url http://hdl.handle.net/11336/215702
identifier_str_mv Andreo, Verónica Carolina; Rosa, Juan; Ramos, Karina; Salomón, Oscar Daniel; Ecological characterization of a cutaneous leishmaniasis outbreak through remotely sensed land cover changes; Univ Naples Federico Ii; Geospatial Health; 17; 1; 5-2022; 1-14
1827-1987
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/1033
info:eu-repo/semantics/altIdentifier/doi/10.4081/gh.2022.1033
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
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
_version_ 1846782017359839232
score 12.982451

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