Climatic suitability for leishmaniasis at global and European scales
This study utilizes an XGBoost machine learning framework to demonstrate that global and European leishmaniasis risk is driven by the interplay of land use, climate change, and socio-economic inequity, revealing a significant increase in disease prevalence since the 1990s and a northward expansion of visceral leishmaniasis in Europe that underscores the need for enhanced surveillance and targeted support for vulnerable populations.