Using electronic biology based platform to predict flu vaccine efficacy for 2018/2019 [version 2; referees: 2 approved, 1 approved with reservations]

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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Main Authors: Slobodan Paessler, Veljko Veljkovic
Format: Article
Language:English
Published: F1000 Research Ltd 2018-05-01
Series:F1000Research
Online Access:https://f1000research.com/articles/7-298/v2
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spelling doaj-add5e2a7a34a4924a216af3af4e8625a2020-11-25T03:18:29ZengF1000 Research LtdF1000Research2046-14022018-05-01710.12688/f1000research.14140.216453Using electronic biology based platform to predict flu vaccine efficacy for 2018/2019 [version 2; referees: 2 approved, 1 approved with reservations]Slobodan Paessler0Veljko Veljkovic1Department of Pathology, Galveston National Laboratory, University of Texas Medical Branch at Galveston, Galveston , TX, USABiomed Protection, Galveston, TX, USAFlu 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.https://f1000research.com/articles/7-298/v2
collection DOAJ
language English
format Article
sources DOAJ
author Slobodan Paessler
Veljko Veljkovic
spellingShingle Slobodan Paessler
Veljko Veljkovic
Using electronic biology based platform to predict flu vaccine efficacy for 2018/2019 [version 2; referees: 2 approved, 1 approved with reservations]
F1000Research
author_facet Slobodan Paessler
Veljko Veljkovic
author_sort Slobodan Paessler
title Using electronic biology based platform to predict flu vaccine efficacy for 2018/2019 [version 2; referees: 2 approved, 1 approved with reservations]
title_short Using electronic biology based platform to predict flu vaccine efficacy for 2018/2019 [version 2; referees: 2 approved, 1 approved with reservations]
title_full Using electronic biology based platform to predict flu vaccine efficacy for 2018/2019 [version 2; referees: 2 approved, 1 approved with reservations]
title_fullStr Using electronic biology based platform to predict flu vaccine efficacy for 2018/2019 [version 2; referees: 2 approved, 1 approved with reservations]
title_full_unstemmed Using electronic biology based platform to predict flu vaccine efficacy for 2018/2019 [version 2; referees: 2 approved, 1 approved with reservations]
title_sort using electronic biology based platform to predict flu vaccine efficacy for 2018/2019 [version 2; referees: 2 approved, 1 approved with reservations]
publisher F1000 Research Ltd
series F1000Research
issn 2046-1402
publishDate 2018-05-01
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.
url https://f1000research.com/articles/7-298/v2
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AT veljkoveljkovic usingelectronicbiologybasedplatformtopredictfluvaccineefficacyfor20182019version2referees2approved1approvedwithreservations
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