Big data opportunities for global infectious disease surveillance

PLoS Med. 2013;10(4):e1001413. doi: 10.1371/journal.pmed.1001413. Epub 2013 Apr 2.

Abstract

Simon Hay and colleagues discuss the potential and challenges of producing continually updated infectious disease risk maps using diverse and large volume data sources such as social media.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Communicable Diseases / epidemiology*
  • Data Mining*
  • Disease Outbreaks / statistics & numerical data
  • Global Health*
  • Humans
  • International Cooperation
  • Population Surveillance / methods*
  • Risk
  • Social Media