| Chapter title |
Using Web and social media for influenza surveillance.
|
|---|---|
| Chapter number | 61 |
| Book title |
Advances in Computational Biology
|
| Published in |
Advances in experimental medicine and biology, September 2010
|
| DOI | 10.1007/978-1-4419-5913-3_61 |
| Pubmed ID | |
| Book ISBNs |
978-1-4419-5912-6, 978-1-4419-5913-3
|
| Authors |
Corley CD, Cook DJ, Mikler AR, Singh KP, Courtney D. Corley, Diane J. Cook, Armin R. Mikler, Karan P. Singh, Corley, Courtney D., Cook, Diane J., Mikler, Armin R., Singh, Karan P., Courtney D Corley, Diane J Cook, Armin R Mikler, Karan P Singh |
| Abstract |
Analysis of Google influenza-like-illness (ILI) search queries has shown a strongly correlated pattern with Centers for Disease Control (CDC) and Prevention seasonal ILI reporting data. Web and social media provide another resource to detect increases in ILI. This paper evaluates trends in blog posts that discuss influenza. Our key finding is that from 5th October 2008 to 31st January 2009, a high correlation exists between the frequency of posts, containing influenza keywords, per week and CDC influenza-like-illness surveillance data. |
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Mendeley demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| Norway | 2 | 2% |
| Malaysia | 1 | 1% |
| Unknown | 77 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 22% |
| Student > Bachelor | 8 | 10% |
| Student > Master | 8 | 10% |
| Researcher | 7 | 9% |
| Professor > Associate Professor | 6 | 7% |
| Other | 21 | 26% |
| Unknown | 14 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 19 | 23% |
| Medicine and Dentistry | 19 | 23% |
| Social Sciences | 11 | 13% |
| Arts and Humanities | 4 | 5% |
| Psychology | 3 | 4% |
| Other | 8 | 10% |
| Unknown | 18 | 22% |