Big Data for Infectious Disease Surveillance and Modeling

Author:

Bansal Shweta,Chowell Gerardo,Simonsen Lone,Vespignani Alessandro,Viboud Cécile

Funder

RAPIDD (Research And Policy for Infectious Diseases Dynamics)

National Institutes of Health

European Commission

Lundbeck Foundation

in-house research program of Fogarty International Center

Defense Threat Reduction Agency

Publisher

Oxford University Press (OUP)

Subject

Infectious Diseases,Immunology and Allergy

Reference24 articles.

1. Wikipedia. Big data. 2015. https://en.wikipedia.org/wiki/Big_data . Accessed 30 July 2016.

2. Laney D . Deja VVVu: others claiming Gartner's construct for big data, 2015. http://blogs.gartner.com/doug-laney/deja-vvvue-others-claiming-gartners-volume-velocity-variety-construct-for-big-data/. Accessed 30 July 2016.

3. Marr B . Why only one of the 5 Vs of big data really matters, 2015. http://www.ibmbigdatahub.com/blog/why-only-one-5-vs-big-data-really-matters . Accessed 30 July 2016.

4. Future directions for comprehensive public health surveillance and health information systems in the United States;Thacker;Am J Epidemiol,1994

5. Lessons from Ebola: improving infectious disease surveillance to inform outbreak management;Woolhouse;Sci Translat Med,2015

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