tetano
Editor, Senior Moderator
Clin Infect Dis. 2018 Apr 17. doi: 10.1093/cid/ciy323. [Epub ahead of print]
[h=1]Predicting Influenza H3N2 Vaccine Efficacy from Evolution of the Dominant Epitope.[/h] Bonomo ME[SUP]1[/SUP], Deem MW[SUP]1,[/SUP][SUP]2[/SUP].
[h=3]Author information[/h]
[h=3]Abstract[/h] We predict vaccine efficacy with a measure of antigenic distance between influenza A(H3N2) and candidate vaccine viruses based on amino acid substitutions in the dominant epitopes. In 2016-2017, our model predicts 19% efficacy compared to 20% observed. This tool assists candidate vaccine selection by predicting human protection against circulating strains.
PMID: 29672670 DOI: 10.1093/cid/ciy323
[h=1]Predicting Influenza H3N2 Vaccine Efficacy from Evolution of the Dominant Epitope.[/h] Bonomo ME[SUP]1[/SUP], Deem MW[SUP]1,[/SUP][SUP]2[/SUP].
[h=3]Author information[/h]
[h=3]Abstract[/h] We predict vaccine efficacy with a measure of antigenic distance between influenza A(H3N2) and candidate vaccine viruses based on amino acid substitutions in the dominant epitopes. In 2016-2017, our model predicts 19% efficacy compared to 20% observed. This tool assists candidate vaccine selection by predicting human protection against circulating strains.
PMID: 29672670 DOI: 10.1093/cid/ciy323