Predicting influenza H3N2 vaccine efficacy from evolution of the dominant epitope
Populations and Evolution
2018-04-16 v1
Abstract
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.
Keywords
Cite
@article{arxiv.1804.04751,
title = {Predicting influenza H3N2 vaccine efficacy from evolution of the dominant epitope},
author = {Melia E. Bonomo and Michael W. Deem},
journal= {arXiv preprint arXiv:1804.04751},
year = {2018}
}
Comments
25 pages, 4 figures, 3 tables