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...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2019
- Institución:
- Universidad del Rosario
- Repositorio:
- Repositorio EdocUR - U. Rosario
- Idioma:
- eng
- OAI Identifier:
- oai:repository.urosario.edu.co:10336/22824
- Acceso en línea:
- https://doi.org/10.1371/journal.pntd.0007629
https://repository.urosario.edu.co/handle/10336/22824
- Palabra clave:
- 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
Skin leishmaniasis
South america
Ecology
Ecosystem
Forests
French guiana
Humans
Prevalence
Seasons
South america
cutaneous
Leishmaniasis
- Rights
- License
- Abierto (Texto Completo)