title: Big data opportunities for global infectious disease surveillance.
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.
authors.affiliation: Spatial Ecology and Epidemiology Group, Department of Zoology, University of Oxford, Oxford, United Kingdom. simon.hay@zoo.ox.ac.uk
authors.forename: Simon I
authors.initials: SI
authors.lastname: Hay
authors.forename: Dylan B
authors.initials: DB
authors.lastname: George
authors.forename: Catherine L
authors.initials: CL
authors.lastname: Moyes
authors.forename: John S
authors.initials: JS
authors.lastname: Brownstein
mesh_terms: D003141:Communicable Diseases / Q000453:epidemiology*; D057225:Data Mining; D004196:Disease Outbreaks / Q000706:statistics & numerical data; D014943:Global Health; D006801:Humans; D007391:International Cooperation; D011159:Population Surveillance / Q000379:methods*; D012306:Risk; D061108:Social Media
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