Prediction of influenza vaccine effectiveness for the influenza

Vaccination against seasonal influenza viruses is the most effective way to prevent infection. A key factor in the effectiveness of the seasonal influenza vaccine is its immunological compatibility with the circulating viruses during the season. The high evolutionary rate, antigenic shift and antigenic drift of influenza viruses, represents the main obstacle for correct prediction of the vaccine effectiveness for an upcoming flu season. Conventional structural and phylogenetic approaches for assessment of vaccine effectiveness have had a limited success in prediction of vaccine efficacy in the past. Recently, a novel bioinformatics approach for assessment of effectiveness of seasonal influenza vaccine was proposed. Here, this approach was used for prediction of the vaccine effectiveness for the influenza season 2017/18 in US. Veljko Veljkovic ( ) Corresponding author: [email protected] : Conceptualization, Investigation, Writing – Original Draft Preparation, Writing – Review & Editing; : Author roles: Paessler S Veljkovic V Conceptualization, Formal Analysis, Investigation, Methodology, Writing – Original Draft Preparation, Writing – Review & Editing No competing interests were disclosed. Competing interests: Paessler S and Veljkovic V. How to cite this article: Prediction of influenza vaccine effectiveness for the influenza season 2017/18 in the 2017, :2067 (doi: ) US [version 1; referees: awaiting peer review] F1000Research 6 10.12688/f1000research.13198.1 © 2017 Paessler S and Veljkovic V. This is an open access article distributed under the terms of the Copyright: Creative Commons Attribution , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Licence The author(s) declared that no grants were involved in supporting this work. Grant information: 29 Nov 2017, :2067 (doi: ) First published: 6 10.12688/f1000research.13198.1 1