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

ABSTRACT: 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 future dispersion of vectors based on the occurrence records and the potential prevalence of the disease. The establishment of risk maps for disease systems with complex cycles such as cutaneous leishmaniasis (CL) can be very challenging due to the many inference networks between large sets of host and vector species, with considerable heterogeneity in disease patterns in space and time. One novelty in the present study is the use of human CL cases to predict the risk of leishmaniasis occurrence

SUBMITTER: Chavy A 

PROVIDER: S-EPMC6693739 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature