| Title |
Influenza Forecasting with Google Flu Trends
|
|---|---|
| Published in |
PLOS ONE, February 2013
|
| DOI | 10.1371/journal.pone.0056176 |
| Pubmed ID | |
| Authors |
Andrea Freyer Dugas, Mehdi Jalalpour, Yulia Gel, Scott Levin, Fred Torcaso, Takeru Igusa, Richard E. Rothman |
| Abstract |
We developed a practical influenza forecast model based on real-time, geographically focused, and easy to access data, designed to provide individual medical centers with advanced warning of the expected number of influenza cases, thus allowing for sufficient time to implement interventions. Secondly, we evaluated the effects of incorporating a real-time influenza surveillance system, Google Flu Trends, and meteorological and temporal information on forecast accuracy. |
X Demographics
The data shown below were collected from the profiles of 18 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 | 4 | 22% |
| Switzerland | 1 | 6% |
| Spain | 1 | 6% |
| Canada | 1 | 6% |
| Unknown | 11 | 61% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 14 | 78% |
| Scientists | 4 | 22% |
Mendeley readers
The data shown below were compiled from readership statistics for 304 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 1% |
| United Kingdom | 3 | <1% |
| Japan | 2 | <1% |
| Indonesia | 1 | <1% |
| Malaysia | 1 | <1% |
| Chile | 1 | <1% |
| Israel | 1 | <1% |
| Canada | 1 | <1% |
| Unknown | 290 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 62 | 20% |
| Student > Ph. D. Student | 61 | 20% |
| Researcher | 42 | 14% |
| Student > Bachelor | 25 | 8% |
| Other | 15 | 5% |
| Other | 55 | 18% |
| Unknown | 44 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 69 | 23% |
| Medicine and Dentistry | 48 | 16% |
| Mathematics | 22 | 7% |
| Agricultural and Biological Sciences | 20 | 7% |
| Business, Management and Accounting | 18 | 6% |
| Other | 68 | 22% |
| Unknown | 59 | 19% |