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Summary results of the 2014-2015 DARPA Chikungunya challenge.

Sara Y Del ValleBenjamin H McMahonJason AsherRichard HatchettJoceline C LegaHeidi E BrownMark E LeanyYannis PantazisDavid J RobertsSean MooreA Townsend PetersonLuis E EscobarHuijie QiaoNicholas W HengartnerHarshini Mukundan
Published in: BMC infectious diseases (2018)
We conclude that with careful consideration and understanding of the relative advantages and disadvantages of particular methods, implementation of an effective prediction system is feasible. However, there is a need to improve the quality of the data in order to more accurately predict the course of epidemics.
Keyphrases
  • quality improvement
  • zika virus
  • primary care
  • electronic health record
  • healthcare
  • aedes aegypti
  • dengue virus
  • big data
  • infectious diseases
  • deep learning