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Big data opportunities for global infectious disease surveillance.
Hay, Simon I; George, Dylan B; Moyes, Catherine L; Brownstein, John S.
Affiliation
  • Hay SI; Spatial Ecology and Epidemiology Group, Department of Zoology, University of Oxford, Oxford, United Kingdom. simon.hay@zoo.ox.ac.uk
PLoS Med ; 10(4): e1001413, 2013.
Article in En | MEDLINE | ID: mdl-23565065
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.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Population Surveillance / Global Health / Communicable Diseases / Data Mining Type of study: Etiology_studies / Risk_factors_studies / Screening_studies Limits: Humans Language: En Journal: PLoS Med Journal subject: MEDICINA Year: 2013 Type: Article Affiliation country: United kingdom

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Population Surveillance / Global Health / Communicable Diseases / Data Mining Type of study: Etiology_studies / Risk_factors_studies / Screening_studies Limits: Humans Language: En Journal: PLoS Med Journal subject: MEDICINA Year: 2013 Type: Article Affiliation country: United kingdom