Protective behavior driven by disease information can either suppress or prolong mosquito-borne epidemics and may generate recurrent damped waves, with the net effect depending on transmission parameters and host composition.
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ConvLSTM with mixed loss achieves MAE 0.2293, RMSE 0.3089, R2 0.8877 for next-day temperature prediction in Sarajevo and supports generation of urban heat-risk maps.
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A model for mosquito-borne epidemic outbreaks with information-dependent protective behaviour
Protective behavior driven by disease information can either suppress or prolong mosquito-borne epidemics and may generate recurrent damped waves, with the net effect depending on transmission parameters and host composition.
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GPU-Accelerated Deep Learning for Heatwave Prediction and Urban Heat Risk Assessment
ConvLSTM with mixed loss achieves MAE 0.2293, RMSE 0.3089, R2 0.8877 for next-day temperature prediction in Sarajevo and supports generation of urban heat-risk maps.