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FWin transformer for dengue prediction under climate and ocean influence
Dengue fever is one of the most deadly mosquito-born tropical infectious diseases.
An integrated recurrent neural network and regression model with spatial and climatic couplings for vector-borne disease dynamics
We developed an integrated recurrent neural network and nonlinear regression spatio-temporal model for vector-borne disease evolution.
A Spatial-Temporal Graph Based Hybrid Infectious Disease Model with Application to COVID-19
For edge feature, we design an RNN model to capture the neighboring effect and regularize the landscape of loss function so that local minima are effective and robust for prediction.
A Recurrent Neural Network and Differential Equation Based Spatiotemporal Infectious Disease Model with Application to COVID-19
Modeling the trend of infection and real-time forecasting of cases can help decision making and control of the disease spread.
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