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Evaluation of the influenza sentinel surveillance system in the Democratic Republic of Congo, 2012-2015.

Pélagie Diambalula BabakazoJoelle Kabamba-TshiloboEmile Okitolonda WemakoyLéopold LubulaLéonie Kitoko ManyaBenoit Kebela IlungaWally DisasuaniEdith NkwembeHugo Kavunga-MemboJean-Claude ChangachangaSaleh MuhemediJean-Jacques Muyembe TamfumStefano Tempia
Published in: BMC public health (2019)
The system performed overall satisfactorily and provided reliable and timely data about influenza circulation in DRC. The simplicity of the system contributed to its stability. A better use of the available data could be made to inform and promote prevention interventions especially among the most vulnerable groups.
Keyphrases
  • electronic health record
  • big data
  • public health
  • physical activity
  • machine learning
  • deep learning