@article{fdi:010083175, title = {{S}patial variations in {L}eishmaniasis : a biogeographic approach to mapping the distribution of {L}eishmania species}, author = {{J}agadesh, {S}. and {C}ombe, {M}arine and {G}inouves, {M}. and {S}imon, {S}. and {P}revot, {G}. and {C}ouppie, {P}. and {N}acher, {M}. and {G}ozlan, {R}odolphe}, editor = {}, language = {{ENG}}, abstract = {{C}utaneous {L}eishmaniasis ({CL}) is the most prevalent form of {L}eishmaniasis and is widely endemic in the {A}mericas. {S}everal species of {L}eishmania are responsible for {CL}, a severely neglected tropical disease and the treatment of {CL} vary according to the different species of {L}eishmania. {W}e proposed to map the distribution of the {L}eishmania species reported in {F}rench {G}uiana ({FG}) using a biogeographic approach based on environmental predictors. {W}e also measured species endemism i.e., the uniqueness of species to a defined geographic location. {O}ur results show that the distribution patterns varied between {L}eishmania spp. and were spatially dependent on climatic covariates. {T}he species distribution modelling of the eco-epidemiological spatial patterns of {L}eishmania spp. is the first to measure endemism based on bioclimatic factors in {FG}. {T}he study also emphasizes the impact of tree cover loss and climate on the increasing distribution of {L}. ({V}iannia) braziliensis in the most anthropized regions. {D}etection of high-risk regions for the different between {L}eishmania spp. is essential for monitoring and active surveillance of the vector. {A}s climate plays a major role in the spatial distribution of the vector and reservoir and the survival of the pathogen, climatic covariates should be included in the analysis and mapping of vector-borne diseases. {T}his study underscores the significance of local land management and the urgency of considering the impact of climate change in the development of vector-borne disease management strategies at the global scale.}, keywords = {{B}iogeography ; {C}utaneous leishmaniasis ; {O}ne health ; {S}tacked species ; distribution modelling ; {D}eforestation ; {Z}oonosis ; {GUYANE} {FRANCAISE}}, booktitle = {}, journal = {{O}ne {H}ealth}, volume = {13}, numero = {}, pages = {100307 [7 p.]}, year = {2021}, DOI = {10.1016/j.onehlt.2021.100307}, URL = {https://www.documentation.ird.fr/hor/fdi:010083175}, }