Predicting Influenza H3N2 Vaccine Efficacy From Evolution of the Dominant Epitope

被引：27

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

页码：1129 / 1131

页数：3

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