Global Prediction of Dengue Incidence Using an Explainable Artificial Intelligence‐Driven ConvLSTM Integrating Environmental, Health, and Socio‐Economic Determinants

ABSTRACT Background and Aims Dengue fever is a rapidly expanding vector‐borne disease that poses significant global epidemiological and public health challenges. Accurate and interpretable forecasting is essential for timely interventions, yet most models overlook spatiotemporal, sex‐specific, and c...

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Autore principale:	Md. Abu Bokkor Shiddik
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Wiley 2026-04-01
Serie:	Health Science Reports
Soggetti:	deep learning feature attribution public health forecasting spatiotemporal modeling vector‐borne diseases
Accesso online:	https://doi.org/10.1002/hsr2.72280
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