Temporal Topic Modeling to Assess Associations between News Trends and Infectious Disease Outbreaks-Reference-Cited by-同舟云学术

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Temporal Topic Modeling to Assess Associations between News Trends and Infectious Disease Outbreaks

Published:2017-01-19 Issue:1 Volume:7 Page:
ISSN:2045-2322
Container-title:Scientific Reports
language:en
Short-container-title:Sci Rep

Author:

Ghosh Saurav,Chakraborty Prithwish,Nsoesie Elaine O.,Cohn Emily,Mekaru Sumiko R.,Brownstein John S.,Ramakrishnan Naren

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Link

http://www.nature.com/articles/srep40841.pdf

Reference50 articles.

1. Brownstein, J. S., Freifeld, C. C., Reis, B. Y. & Mandl, K. D. Surveillance Sans Frontieres: Internet-based emerging infectious disease intelligence and the Healthmap project. PLoS Medicine 5, e151 (2008).

2. Linge, J. P. et al. Internet surveillance systems for early alerting of health threats. Eurosurveillance 14, 200–201 (2009).

3. Corley, C. D., Cook, D. J., Mikler, A. R. & Singh, K. P. Text and structural data mining of influenza mentions in web and social media. International Journal of Environmental Research and Public Health 7, 596–615 (2010).

4. Yuan, Q. et al. Monitoring influenza epidemics in china with search query from baidu. PLoS One 8, e64323 (2013).

5. Ginsberg, J. et al. Detecting influenza epidemics using search engine query data. Nature 457, 1012–1014 (2009).

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