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D. Deus

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Review Open access Jul 2026

Geospatial-based surveillance of malaria risk in dar es salaam using a hybrid 3DCNN + LSTM and CA model.

A geospatial hybrid modelling framework was developed by integrating multi-source remote sensing, malaria, and climate datasets and successfully mapped malaria risk in Dar es Salaam with a Spearman rank correlation of 0.92, demonstrating the model's ability to estimate future risk.

Edmund Steven Kanjagaile, D. Deus, A. Msusa · 0 citations

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