title: GODSN: Global News Driven Disease Outbreak and Surveillance.
abstract: Disease surveillance has evolved dramatically in the last few years, becoming more real-time, comprehensive and technology driven. As the Internet grows and evolves as a powerful information medium, the ability to mine real-time news feeds for disease surveillance has become viable. We propose a system, GODSN that monitors global news for disease outbreaks and surveillance. The system processes real-time news feeds using natural language processing to obtain disease information and the geographical reference to plot them on a geographic information system. GODSN provides an effective approach to visualize the spatial and temporal trends of infectious disease outbreaks or disease specific developments.
authors.affiliation: Department of Biomedical Informatics, Columbia University, New York, NY, USA.
authors.forename: Sharib A
authors.initials: SA
authors.lastname: Khan
authors.forename: Chintan O
authors.initials: CO
authors.lastname: Patel
authors.forename: Rita
authors.initials: R
authors.lastname: Kukafka
mesh_terms: D003146:Communications Media; D004196:Disease Outbreaks; D006801:Humans; D020407:Internet; D011159:Population Surveillance / Q000379:methods*; D040442:Public Health Informatics