Please use this identifier to cite or link to this item: http://sgc.anlis.gob.ar/handle/123456789/1820
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dc.contributor.authorBerrozpe, Pabloes
dc.contributor.authorLamattina, Danielaes
dc.contributor.authorSantini, María Soledades
dc.contributor.authorAraujo, Analía Vanesaes
dc.contributor.authorUtgés, Maria Eugeniaes
dc.contributor.authorSalomón, Oscar Danieles
dc.date.accessioned2020-12-04T09:09:44Z-
dc.date.available2020-12-04T09:09:44Z-
dc.date.issued2017-10-
dc.identifier.urihttp://sgc.anlis.gob.ar/handle/123456789/1820-
dc.descriptionFil: Berrozpe, Pablo. ANLIS Dr.C.G.Malbrán. Instituto Nacional de Medicina Tropical; Argentina.es
dc.descriptionFil: Lamattina, Daniela. ANLIS Dr.C.G.Malbrán. Instituto Nacional de Medicina Tropical; Argentina.es
dc.descriptionFil: Santini, María Soledad. ANLIS Dr.C.G.Malbrán. Centro Nacional de Diagnóstico e Investigación de Endemo-Epidemias; Argentina.es
dc.descriptionFil: Araujo, Analía Vanesa. Consejo Nacional de Investigaciones Científicas y Tecnológicas; Argentina.es
dc.descriptionFil: Utgés, María Eugenia. ANLIS Dr.C.G.Malbrán. Centro Nacional de Diagnóstico e Investigación de Endemo-Epidemias; Argentina.es
dc.descriptionFil: Salomón, Oscar Daniel. ANLIS Dr.C.G.Malbrán. Instituto Nacional de Medicina Tropical; Argentina.es
dc.description.abstractBackground: Visceral leishmaniasis (VL) is an endemic disease in northeastern Argentina including the Corrientes province, where the presence of the vector and canine cases of VL were recently confirmed in December 2008. Objectives: The objective of this study was to assess the modelling of micro- and macro-habitat variables to evaluate the urban environmental suitability for the spatial distribution of Lutzomyia longipalpis presence and abundance in an urban scenario. Methods: Sampling of 45 sites distributed throughout Corrientes city (Argentina) was carried out using REDILA-BL minilight traps in December 2013. The sampled specimens were identified according to methods described by Galati (2003). The analysis of variables derived from the processing of satellite images (macro-habitat variables) and from the entomological sampling and surveys (micro-habitat variables) was performed using the statistical software R. Three generalised linear models were constructed composed of micro- and macro-habitat variables to explain the spatial distribution of the abundance of Lu. longipalpis and one composed of micro-habitat variables to explain the occurrence of the vector. Findings: A total of 609 phlebotominae belonging to five species were collected, of which 56% were Lu. longipalpis. In addition, the presence of Nyssomyia neivai and Migonemya migonei, which are vectors of tegumentary leishmaniasis, were also documented and represented 34.81% and 6.74% of the collections, respectively. The explanatory variable normalised difference vegetation index (NDVI) described the abundance distribution, whereas the presence of farmyard animals was important for explaining both the abundance and the occurrence of the vector. Main conclusions: The results contribute to the identification of variables that can be used to establish priority areas for entomological surveillance and provide an efficient transfer tool for the control and prevention of vector-borne diseases.es
dc.formatpdf -
dc.language.isoenes
dc.relationdatasets-
dc.relation.ispartofMemorias do Instituto Oswaldo Cruzes
dc.rightsOpen Access-
dc.rightsCreative Commons Attribution 4.0 International License-
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/-
dc.sourceMemorias do Instituto Oswaldo Cruz 2017; 112(10):674-680-
dc.subjectAnimaleses
dc.subjectArgentinaes
dc.subjectEcosistemaes
dc.subjectInsectos Vectoreses
dc.subjectLeishmaniasis Viscerales
dc.subjectDensidad de Poblaciónes
dc.subjectPsychodidaees
dc.subjectAnálisis Espaciales
dc.subjectPoblación Urbanaes
dc.titleEnvironmental suitability for Lutzomyia longipalpis in a subtropical city with a recently established visceral leishmaniasis transmission cycle, Argentinaes
dc.typeArtículoes
dc.identifier.doi10.1590/0074-02760170056-
anlis.essnrd1-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.grantfulltextopen-
item.openairetypeArtículo-
item.fulltextWith Fulltext-
item.languageiso639-1en-
crisitem.author.deptAdministración Nacional de Laboratorios e Institutos de Salud “Dr. Carlos G. Malbrán” (ANLIS)-
crisitem.author.deptInstituto Nacional de Medicina Tropical (INMeT)-
crisitem.author.deptCentro Nacional de Diagnóstico e Investigación en Endemo Epidemias (CeNDIE)-
crisitem.author.deptAdministración Nacional de Laboratorios e Institutos de Salud “Dr. Carlos G. Malbrán” (ANLIS)-
crisitem.author.deptAdministración Nacional de Laboratorios e Institutos de Salud “Dr. Carlos G. Malbrán” (ANLIS)-
crisitem.author.deptCentro Nacional de Diagnóstico e Investigación en Endemo Epidemias (CeNDIE)-
crisitem.author.deptAdministración Nacional de Laboratorios e Institutos de Salud “Dr. Carlos G. Malbrán” (ANLIS)-
crisitem.author.deptInstituto Nacional de Medicina Tropical (INMeT)-
crisitem.author.orcidhttps://orcid.org/0000-0002-0797-7020-
crisitem.author.orcidhttps://orcid.org/0000-0002-8577-0359-
crisitem.author.parentorgAdministración Nacional de Laboratorios e Institutos de Salud “Dr. Carlos G. Malbrán” (ANLIS)-
crisitem.author.parentorgAdministración Nacional de Laboratorios e Institutos de Salud “Dr. Carlos G. Malbrán” (ANLIS)-
crisitem.author.parentorgAdministración Nacional de Laboratorios e Institutos de Salud “Dr. Carlos G. Malbrán” (ANLIS)-
crisitem.author.parentorgAdministración Nacional de Laboratorios e Institutos de Salud “Dr. Carlos G. Malbrán” (ANLIS)-
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