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Jitendra Bhatia

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Open access Sep 2026

Prognosis of vector borne dengue disease outbreak in urban areas using multivariate analysis

The feasibility of predicting dengue outbreaks using weekly multivariate time-series data from San Juan, Puerto Rico and Iquitos, Peru is examined, demonstrating that advanced machine learning models can serve as reliable early warning systems for vector-borne diseases.

Pratik S. Machchar, Purvi N. Ramanuj, R. Patel et al. · 0 citations