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Big Data and Analytics for Infectious Disease Research, Operations, and Policy Proceedings of a Workshop (2016) / Chapter Skim
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References
Pages 59-62

The Chapter Skim interface presents what we've algorithmically identified as the most significant single chunk of text within every page in the chapter.
Select key terms on the right to highlight them within pages of the chapter.


From page 59...
... 2010. Prediction, assessment of the Rift Valley fever activity in East and Southern Africa 2006–2008 and possible vector control strategies.
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From page 60...
... 2015. Relations of β-lactam consumption, methicillin susceptibility and geographical origin with therapeutically problematic, vancomycin-susceptible Staphylococcus aureus isolates in the military health system.
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From page 61...
... 2014. Predictive spatial risk model of poliovirus to aid prioritization and hasten eradication in Nigeria.
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Key Terms

  • big data
  • artificial intelligence
  • rift valley
  • accessed september
  • infectious diseases

  • control strategies
  • promoting global
  • annual conference
  • nut butter
  • accessed june

  • research associates
  • global polio
  • tropical diseases
  • log data
  • pandemic risk

  • virus occurrence
  • geological survey
  • seleted infectious
  • reducing pandemic
  • global health

  • mineralogical data
  • fever activity
  • nspired natural
  • royal society
  • foodborne illness

  • forum infectious
  • neglected tropical
  • drug reactions
  • military health
  • diagnostic microbiology


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