| Title |
Estimation of Influenza Vaccine Effectiveness from Routine Surveillance Data
|
|---|---|
| Published in |
PLOS ONE, March 2009
|
| DOI | 10.1371/journal.pone.0005079 |
| Pubmed ID | |
| Authors |
Heath Kelly, Kylie Carville, Kristina Grant, Peter Jacoby, Thomas Tran, Ian Barr |
| Abstract |
Influenza vaccines are reviewed each year, and often changed, in an effort to maintain their effectiveness against drifted influenza viruses. There is however no regular review of influenza vaccine effectiveness during, or at the end of, Australian influenza seasons. It is possible to use a case control method to estimate vaccine effectiveness from surveillance data when all patients in a surveillance system are tested for influenza and their vaccination status is known. |
Mendeley readers
The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 3% |
| Kenya | 2 | 3% |
| Hong Kong | 1 | 1% |
| Germany | 1 | 1% |
| Unknown | 70 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 20% |
| Student > Ph. D. Student | 12 | 16% |
| Other | 7 | 9% |
| Student > Master | 7 | 9% |
| Student > Bachelor | 7 | 9% |
| Other | 21 | 28% |
| Unknown | 7 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 36 | 47% |
| Agricultural and Biological Sciences | 11 | 14% |
| Social Sciences | 4 | 5% |
| Biochemistry, Genetics and Molecular Biology | 3 | 4% |
| Immunology and Microbiology | 3 | 4% |
| Other | 10 | 13% |
| Unknown | 9 | 12% |