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Mapping influenza activity in emergency departments in France using Bayesian model-based geostatistics.

Juliette PaireauCamille PelatCéline Caserio-SchönemannIsabelle PontaisYann Le StratDaniel Lévy-BruhlSimon Cauchemez
Published in: Influenza and other respiratory viruses (2018)
Our model allows producing smoothed maps where the random noise has been properly removed to reveal the spatial risk surface. The algorithm was incorporated into the national surveillance system to produce maps in real time and could be applied to other diseases.
Keyphrases
  • public health
  • machine learning
  • high resolution
  • quality improvement
  • deep learning
  • air pollution
  • genome wide
  • single cell
  • high density
  • gene expression
  • dna methylation
  • mass spectrometry