Trending Now: Using Social Media to Predict and Track Disease Outbreaks-Reference-Cited by-同舟云学术

Trending Now: Using Social Media to Predict and Track Disease Outbreaks

Published:2012-01 Issue:1 Volume:120 Page:
ISSN:0091-6765
Container-title:Environmental Health Perspectives
language:en
Short-container-title:Environmental Health Perspectives

Author:

Schmidt Charles W.¹

Affiliation:

1. Charles W. Schmidt, MS, an award-winning science writer from Portland, ME, has written for Discover Magazine, Science, and Nature Medicine.

Publisher

Environmental Health Perspectives

Subject

Health, Toxicology and Mutagenesis,Public Health, Environmental and Occupational Health

Reference11 articles.

1. Detecting influenza epidemics using search engine query data

2. Lampos V et al. Nowcasting Events from the Social Web with Statistical Learning. In: ACM Transactions on Intelligent Technology (TIST). Bristol UK:Department of Computer Science University of Bristol (Sep 2011) Available: http://www.cs.bris.ac.uk/Publications/pub_master.jsp?id=2001449 [accessed 12 Dec 2011].

3. The Use of Twitter to Track Levels of Disease Activity and Public Concern in the U.S. during the Influenza A H1N1 Pandemic

4. Monitoring Influenza Activity in the United States: A Comparison of Traditional Surveillance Systems with Google Flu Trends

5. Machine learning algorithms enable computers to “learn” by recognizing complex patterns within bodies of empirical data then making decisions based on those data.

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