Predicting Influenza H3N2 Vaccine Efficacy From Evolution of the Dominant Epitope

被引：24
作者：
Bonomo, Melia E. [1 ,2 ]
Deem, Michael W. [1 ,2 ,3 ]
机构：
[1] Rice Univ, Dept Phys & Astron, Houston, TX USA
[2] Rice Univ, Ctr Theoret Biol Phys, Houston, TX USA
[3] Rice Univ, Dept Bioengn, Houston, TX USA
来源：
CLINICAL INFECTIOUS DISEASES | 2018年 / 67卷 / 07期
基金：
美国国家科学基金会;
关键词：
influenza; influenza vaccine; vaccine efficacy; p(epitope); antigenic distance; VIRUSES;
D O I：
10.1093/cid/ciy323
中图分类号：
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号：
100102 ;
摘要：
We predict vaccine efficacy with a measure of antigenic distance between influenza A(H3N2) and vaccine viruses based on amino acid substitutions in the dominant epitope. In 2016-2017, our model predicts 19% efficacy compared with 20% observed. This tool assists candidate vaccine selection by predicting human protection against circulating strains.
引用
收藏
页码：1129 / 1131
页数：3
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