Influenza Evolution and H3N2 Vaccine Effectiveness, with Application to the 2014/2015 Season
Xi Li, Michael W. Deem

TL;DR
This paper discusses a method to predict influenza strain dominance and vaccine effectiveness, applying it to the 2014/2015 season, and analyzes the emergence of new influenza clusters using multidimensional scaling.
Contribution
It introduces the $p_{ m epitope}$ method for predicting influenza vaccine effectiveness and strain evolution, with application to recent flu season data.
Findings
Estimated vaccine effectiveness against emerging strains
Identification of a new immunologically distinct influenza cluster
Application of multidimensional scaling to influenza data
Abstract
Influenza A is a serious disease that causes significant morbidity and mortality, and vaccines against the seasonal influenza disease are of variable effectiveness. In this paper, we discuss use of the method to predict the dominant influenza strain and the expected vaccine effectiveness in the coming flu season. We illustrate how the effectiveness of the 2014/2015 A/Texas/50/2012 [clade 3C.1] vaccine against the A/California/02/2014 [clade 3C.3a] strain that emerged in the population can be estimated via pepitope. In addition, we show by a multidimensional scaling analysis of data collected through 2014, the emergence of a new A/New Mexico/11/2014-like cluster [clade 3C.2a] that is immunologically distinct from the A/California/02/2014-like strains.
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Taxonomy
TopicsInfluenza Virus Research Studies · vaccines and immunoinformatics approaches · Respiratory viral infections research
