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
· International Journal of Hea... · 0 citations