Ecological characterization of a cutaneous leishmaniasis outbreak through remotely sensed land cover changes
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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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PAGEPress Publications
2022-05-01
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| Series: | Geospatial Health |
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| Online Access: | https://www.geospatialhealth.net/index.php/gh/article/view/1033 |
| _version_ | 1817993303921000448 |
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| author | Verónica Andreo Juan Rosa Karina Ramos O. Daniel Salomón |
| author_facet | Verónica Andreo Juan Rosa Karina Ramos O. Daniel Salomón |
| author_sort | Verónica Andreo |
| collection | DOAJ |
| 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.
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| first_indexed | 2024-04-14T01:38:10Z |
| format | Article |
| id | doaj.art-01b4927411ca439393d0968471b55ac5 |
| institution | Directory Open Access Journal |
| issn | 1827-1987 1970-7096 |
| language | English |
| last_indexed | 2024-04-14T01:38:10Z |
| publishDate | 2022-05-01 |
| publisher | PAGEPress Publications |
| record_format | Article |
| series | Geospatial Health |
| spelling | doaj.art-01b4927411ca439393d0968471b55ac52022-12-22T02:19:52ZengPAGEPress PublicationsGeospatial Health1827-19871970-70962022-05-0117110.4081/gh.2022.1033Ecological characterization of a cutaneous leishmaniasis outbreak through remotely sensed land cover changesVerónica Andreo0Juan Rosa1Karina Ramos2O. Daniel Salomón3Instituto de Altos Estudios Espaciales Mario Gulich, UNC-CONAE, Falda del Cañete, Córdoba; Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Ciudad Autónoma de Buenos AiresInstituto de Medicina Regional, Universidad Nacional del Nordeste, Resistencia, ChacoPrograma de Leishmaniasis, Ministerio de Salud de la Provincia de Corrientes, CorrientesConsejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Ciudad Autónoma de Buenos Aires; Instituto Nacional de Medicina Tropical (INMeT), ANLIS CG Malbrán, Puerto Iguazú, Misiones 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. https://www.geospatialhealth.net/index.php/gh/article/view/1033Cutaneous leishmaniasisremote sensingland use and land cover changespecies distribution modelsdisease ecologyArgentina. |
| spellingShingle | Verónica Andreo Juan Rosa Karina Ramos O. Daniel Salomón Ecological characterization of a cutaneous leishmaniasis outbreak through remotely sensed land cover changes Geospatial Health Cutaneous leishmaniasis remote sensing land use and land cover change species distribution models disease ecology Argentina. |
| title | 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_short | 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 |
| topic | Cutaneous leishmaniasis remote sensing land use and land cover change species distribution models disease ecology Argentina. |
| url | https://www.geospatialhealth.net/index.php/gh/article/view/1033 |
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