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Can Google Trends data improve forecasting of Lyme disease incidence?

Máté Kapitány-FövényTamás FerenciZita SulyokJosua KegeleHardy RichterIstván Vályi-NagyMihály Sulyok
Published in: Zoonoses and public health (2018)
Google Trends data are a good correlate of the reported incidence of Lyme disease in Germany, but it failed to significantly improve the forecasting accuracy in models based on traditional data.
Keyphrases
  • electronic health record
  • big data
  • risk factors
  • machine learning
  • deep learning