Nowcasting COVID-19 hospitalizations using Google Trends and LSTM

Citation:

Derval G, François-Lavet V, Schaus P. Nowcasting COVID-19 hospitalizations using Google Trends and LSTM, in AI for Social Good Workshop. ; 2020.

Abstract:

The Google Trends data of some keywords have strong correlations with COVID-19 hospitalizations. We attempt to use these correlations and show an experimental procedure using a simple LSTM model to nowcast hospitalization peaks using Google Trends data. Experiments are done on French regions and on Belgium. This is a preliminary work, that would need to be tested during a (hopefully non-existing) second peak.

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