Narrative review highlights leishmaniasis transmission dynamics and AI applications in Morocco, suggesting enhanced control strategies.
Key Points
This review aims to synthesize the current understanding of leishmaniasis epidemiology and explore the potential of AI for better disease management in Morocco.
Comprehensive analysis of recent literature on leishmaniasis in Morocco.
Examination of transmission cycles, vectors, and reservoirs associated with the disease.
Critical evaluation of AI tools for surveillance and diagnostics in leishmaniasis control.
Leishmaniasis remains a significant public health challenge in Morocco, primarily CL and VL.
Climate change and urbanization are driving changes in vector behavior and human exposure.
AI tools like predictive mapping and automated vector identification could improve disease management and surveillance.