| Title |
Low 2012–13 Influenza Vaccine Effectiveness Associated with Mutation in the Egg-Adapted H3N2 Vaccine Strain Not Antigenic Drift in Circulating Viruses
|
|---|---|
| Published in |
PLOS ONE, March 2014
|
| DOI | 10.1371/journal.pone.0092153 |
| Pubmed ID | |
| Authors |
Danuta M. Skowronski, Naveed Z. Janjua, Gaston De Serres, Suzana Sabaiduc, Alireza Eshaghi, James A. Dickinson, Kevin Fonseca, Anne-Luise Winter, Jonathan B. Gubbay, Mel Krajden, Martin Petric, Hugues Charest, Nathalie Bastien, Trijntje L. Kwindt, Salaheddin M. Mahmud, Paul Van Caeseele, Yan Li |
| Abstract |
Influenza vaccine effectiveness (VE) is generally interpreted in the context of vaccine match/mismatch to circulating strains with evolutionary drift in the latter invoked to explain reduced protection. During the 2012-13 season, however, detailed genotypic and phenotypic characterization shows that low VE was instead related to mutations in the egg-adapted H3N2 vaccine strain rather than antigenic drift in circulating viruses. |
X Demographics
The data shown below were collected from the profiles of 30 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 | 10 | 33% |
| Canada | 6 | 20% |
| United Kingdom | 2 | 7% |
| Indonesia | 1 | 3% |
| Mexico | 1 | 3% |
| France | 1 | 3% |
| Italy | 1 | 3% |
| Unknown | 8 | 27% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 19 | 63% |
| Practitioners (doctors, other healthcare professionals) | 6 | 20% |
| Scientists | 5 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 232 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 2 | <1% |
| United States | 1 | <1% |
| Unknown | 229 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 51 | 22% |
| Student > Ph. D. Student | 44 | 19% |
| Student > Bachelor | 25 | 11% |
| Student > Master | 21 | 9% |
| Other | 12 | 5% |
| Other | 26 | 11% |
| Unknown | 53 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 40 | 17% |
| Agricultural and Biological Sciences | 34 | 15% |
| Biochemistry, Genetics and Molecular Biology | 30 | 13% |
| Immunology and Microbiology | 24 | 10% |
| Veterinary Science and Veterinary Medicine | 5 | 2% |
| Other | 33 | 14% |
| Unknown | 66 | 28% |