Using electronic biology based platform to predict flu vaccine efficacy for 2018/2019

Flu epidemics and potential pandemics pose great challenges to public health institutions, scientists and vaccine producers. Creating right vaccine composition for different parts of the world is not trivial and has been historically very problematic. This often resulted in decrease in vaccinations...

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Detalles Bibliográficos
Autores principales: Paessler, Slobodan, Veljkovic, Veljko
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000 Research Limited 2018
Materias:
Research Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5865198/
https://www.ncbi.nlm.nih.gov/pubmed/29636902
http://dx.doi.org/10.12688/f1000research.14140.2
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author Paessler, Slobodan
Veljkovic, Veljko
author_facet Paessler, Slobodan
Veljkovic, Veljko
author_sort Paessler, Slobodan
collection PubMed
description Flu epidemics and potential pandemics pose great challenges to public health institutions, scientists and vaccine producers. Creating right vaccine composition for different parts of the world is not trivial and has been historically very problematic. This often resulted in decrease in vaccinations and reduced trust in public health officials. To improve future protection of population against flu we urgently need new methods for vaccine efficacy prediction and vaccine virus selection.
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spelling pubmed-58651982018-04-09 Using electronic biology based platform to predict flu vaccine efficacy for 2018/2019 Paessler, Slobodan Veljkovic, Veljko F1000Res Research Note Flu epidemics and potential pandemics pose great challenges to public health institutions, scientists and vaccine producers. Creating right vaccine composition for different parts of the world is not trivial and has been historically very problematic. This often resulted in decrease in vaccinations and reduced trust in public health officials. To improve future protection of population against flu we urgently need new methods for vaccine efficacy prediction and vaccine virus selection. F1000 Research Limited 2018-05-29 /pmc/articles/PMC5865198/ /pubmed/29636902 http://dx.doi.org/10.12688/f1000research.14140.2 Text en Copyright: © 2018 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
Using electronic biology based platform to predict flu vaccine efficacy for 2018/2019
title Using electronic biology based platform to predict flu vaccine efficacy for 2018/2019
title_full Using electronic biology based platform to predict flu vaccine efficacy for 2018/2019
title_fullStr Using electronic biology based platform to predict flu vaccine efficacy for 2018/2019
title_full_unstemmed Using electronic biology based platform to predict flu vaccine efficacy for 2018/2019
title_short Using electronic biology based platform to predict flu vaccine efficacy for 2018/2019
title_sort using electronic biology based platform to predict flu vaccine efficacy for 2018/2019
topic Research Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5865198/
https://www.ncbi.nlm.nih.gov/pubmed/29636902
http://dx.doi.org/10.12688/f1000research.14140.2
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