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Prediction of influenza vaccine effectiveness for the influenza season 2017/18 in the US
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 antige...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
F1000 Research Limited
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5795273/ https://www.ncbi.nlm.nih.gov/pubmed/29535862 http://dx.doi.org/10.12688/f1000research.13198.1 |
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author | Paessler, Slobodan Veljkovic, Veljko |
author_facet | Paessler, Slobodan Veljkovic, Veljko |
author_sort | Paessler, Slobodan |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5795273 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | F1000 Research Limited |
record_format | MEDLINE/PubMed |
spelling | pubmed-57952732018-03-12 Prediction of influenza vaccine effectiveness for the influenza season 2017/18 in the US Paessler, Slobodan Veljkovic, Veljko F1000Res Research Note 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. F1000 Research Limited 2017-11-29 /pmc/articles/PMC5795273/ /pubmed/29535862 http://dx.doi.org/10.12688/f1000research.13198.1 Text en Copyright: © 2017 Paessler S and Veljkovic V http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Note Paessler, Slobodan Veljkovic, Veljko Prediction of influenza vaccine effectiveness for the influenza season 2017/18 in the US |
title | Prediction of influenza vaccine effectiveness for the influenza season 2017/18 in the US |
title_full | Prediction of influenza vaccine effectiveness for the influenza season 2017/18 in the US |
title_fullStr | Prediction of influenza vaccine effectiveness for the influenza season 2017/18 in the US |
title_full_unstemmed | Prediction of influenza vaccine effectiveness for the influenza season 2017/18 in the US |
title_short | Prediction of influenza vaccine effectiveness for the influenza season 2017/18 in the US |
title_sort | prediction of influenza vaccine effectiveness for the influenza season 2017/18 in the us |
topic | Research Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5795273/ https://www.ncbi.nlm.nih.gov/pubmed/29535862 http://dx.doi.org/10.12688/f1000research.13198.1 |
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