Towards the Use of Neural Networks for Influenza Prediction at Multiple Spatial Resolutions

6 Nov 2019Emily L. AikenAndre T. NguyenMauricio Santillana

We introduce the use of a Gated Recurrent Unit (GRU) for influenza prediction at the state- and city-level in the US, and experiment with the inclusion of real-time flu-related Internet search data. We find that a GRU has lower prediction error than current state-of-the-art methods for data-driven influenza prediction at time horizons of over two weeks... (read more)

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