F1000Res. 2018 Mar 8;7:298. doi: 10.12688/f1000research.14140.1. eCollection 2018.
Using electronic biology based platform to predict flu vaccine efficacy for 2018/2019.
Paessler S1,2, Veljkovic V3.
Author information
Abstract
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.
KEYWORDS:
H3N2; electronic biology; influenza; vaccine efficacy
PMID: 29636902 PMCID: PMC5865198 DOI: 10.12688/f1000research.14140.1
Free PMC Article
Using electronic biology based platform to predict flu vaccine efficacy for 2018/2019.
Paessler S1,2, Veljkovic V3.
Author information
Abstract
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.
KEYWORDS:
H3N2; electronic biology; influenza; vaccine efficacy
PMID: 29636902 PMCID: PMC5865198 DOI: 10.12688/f1000research.14140.1
Free PMC Article