Fig. 3 | Scientific Reports

Fig. 3

From: Innovative application of a traffic-prediction spatio-temporal graph convolutional network for dengue disease forecasting

Fig. 3The alternative text for this image may have been generated using AI.

Spatio-temporal performance of the STGCN model in forecasting dengue incidence across nine Latin American countries over four prediction horizons (Week 1 to Week 4). (A) Heatmap of Relative RMSE values, where lower values indicate better predictive accuracy. (B) Heatmap of \(\hbox {R}^2\). values, where higher values reflect stronger model fit.

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