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Ecological niche modelling for predicting the risk of cutaneous leishmaniasis in the Neotropical moist forest biome

A major challenge of eco-epidemiology is to determine which factors promote the transmission of infectious diseases and to establish risk maps that can be used by public health authorities. The geographic predictions resulting from ecological niche modelling have been widely used for modelling the f...

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Detalles Bibliográficos
Autores Principales: Chavy, Agathe, Nava, Alessandra Ferreira Dales, Luz, Sergio Luiz Bessa, Ramírez, Juan David, Herrera, Giovanny, dos Santos, Thiago Vasconcelos, Ginouves, Marine, Demar, Magalie, Prévot, Ghislaine, Guégan, Jean-François, de Thoisy, Benoît
Formato: Artículo (Article)
Lenguaje:Inglés (English)
Publicado: Public Library of Science 2019
Materias:
Altitude
Anthropology
Biomass
Biome
Climate
Disease transmission
Ecological niche
Ecological phenomena and functions
Environmental temperature
Geographic distribution
Human
Human footprint
Incidence
Neotropics
Population density
Poverty
Prediction
Seasonal variation
Skin leishmaniasis
Species richness
Tropical rain forest
Ecology
Ecosystem
Forest
French guiana
Prevalence
Season
South america
Forests
Humans
Seasons
cutaneous
Leishmaniasis
Acceso en línea:https://repository.urosario.edu.co/handle/10336/22824
https://doi.org/10.1371/journal.pntd.0007629

Internet

https://repository.urosario.edu.co/handle/10336/22824
https://doi.org/10.1371/journal.pntd.0007629

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