Leveraging explainable artificial intelligence and spatial analysis for communicable diseases in Asia (2000–2022) based on health, climate, and socioeconomic factors

Abstract Background Communicable diseases remain a significant public health challenge in Asia, driven by diverse climatic, socioeconomic, and healthcare-related factors. Despite reductions in diseases such as tuberculosis and malaria, persistent hotspots highlight the need for deeper investigation....

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Bibliografiske detaljer

Principais autores:	Md. Siddikur Rahman, Md. Abu Bokkor Shiddik
Format:	Artigo
Sprog:	Inglês
Udgivet:	BMC 2025-12-01
Serier:	International Journal of Health Geographics
Fag:	Communicable diseases Explainable AI (XAI) Machine learning models Hotspot identification SHAP (Shapley additive explanations)
Online adgang:	https://doi.org/10.1186/s12942-025-00433-7
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