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Título : | Spatiotemporal dynamics of Lutzomyia longipalpis and macro-habitat characterization using satellite images in a leishmaniasis-endemic city in Argentina | Autor : | Berrozpe, Pablo Lamattina, Daniela Santini, M S Araujo, Analía Vanesa Torrusio, Analía Vanesa Salomón, Oscar Daniel |
Palabras clave : | Leishmaniasis Visceral;Leishmania infantum;Psychodidae | Fecha de publicación : | mar-2019 | Editorial : | Wiley | Journal: | Medical and veterinary entomology | Resumen : | 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. |
Descripción : | Fil: Berrozpe, Pablo. Instituto Nacional de Medicina Tropical (INMeT), Ministerio de Salud de la Nación, Puerto Iguazú, Misiones; Argentina. Fil: Lamattina, Daniela. Instituto Nacional de Medicina Tropical (INMeT), Ministerio de Salud de la Nación, Puerto Iguazú, Misiones; Argentina. Fil: Santini, M S. ANLIS Dr.C.G.Malbrán. Centro Nacional de Diagnóstico e Investigación en Endemo-Epidemias; Argentina. Fil: Araujo, Analía Vanesa. Facultad de Ciencias Exactas, Naturales y Agrimensura, Universidad Nacional del Nordeste, Corrientes Capital, Corrientes; Argentina. Fil: Torrusio, S E. Comisión Nacional de Actividades Espaciales (CONAE), Ministerio de Ciencia, Tecnología e Innovación Productiva, Ciudad Autõnoma de Buenos Aires; Argentina. Fil: Salomón, Oscar Daniel. Instituto Nacional de Medicina Tropical (INMeT), Ministerio de Salud de la Nación, Puerto Iguazú, Misiones; Argentina. |
URI : | http://sgc.anlis.gob.ar/handle/123456789/2110 | ISSN : | 1365-2915 | DOI: | 10.1111/mve.12334 https://onlinelibrary.wiley.com/doi/abs/10.1111/mve.12334 |
Derechos: | Closed Access |
Aparece en las colecciones: | Publicaciones CeNDIE |
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comprobado en 16-jun-2025
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