| Title |
Assessing Google Flu Trends Performance in the United States during the 2009 Influenza Virus A (H1N1) Pandemic
|
|---|---|
| Published in |
PLOS ONE, August 2011
|
| DOI | 10.1371/journal.pone.0023610 |
| Pubmed ID | |
| Authors |
Samantha Cook, Corrie Conrad, Ashley L. Fowlkes, Matthew H. Mohebbi |
| Abstract |
Google Flu Trends (GFT) uses anonymized, aggregated internet search activity to provide near-real time estimates of influenza activity. GFT estimates have shown a strong correlation with official influenza surveillance data. The 2009 influenza virus A (H1N1) pandemic [pH1N1] provided the first opportunity to evaluate GFT during a non-seasonal influenza outbreak. In September 2009, an updated United States GFT model was developed using data from the beginning of pH1N1. |
X Demographics
The data shown below were collected from the profiles of 19 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 26% |
| Japan | 3 | 16% |
| Unknown | 11 | 58% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 58% |
| Scientists | 5 | 26% |
| Practitioners (doctors, other healthcare professionals) | 2 | 11% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 317 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 2% |
| United Kingdom | 5 | 2% |
| Canada | 3 | <1% |
| Brazil | 2 | <1% |
| Netherlands | 1 | <1% |
| Israel | 1 | <1% |
| Portugal | 1 | <1% |
| Spain | 1 | <1% |
| Saudi Arabia | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 296 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 82 | 26% |
| Researcher | 50 | 16% |
| Student > Master | 41 | 13% |
| Student > Bachelor | 29 | 9% |
| Professor > Associate Professor | 17 | 5% |
| Other | 60 | 19% |
| Unknown | 38 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 62 | 20% |
| Medicine and Dentistry | 49 | 15% |
| Social Sciences | 28 | 9% |
| Agricultural and Biological Sciences | 18 | 6% |
| Engineering | 16 | 5% |
| Other | 82 | 26% |
| Unknown | 62 | 20% |