tetano
Editor, Senior Moderator
Version 2. F1000Res. 2018 Mar 8 [revised 2018 May 29];7:298. doi: 10.12688/f1000research.14140.2. eCollection 2018.
[h=1]Using electronic biology based platform to predict flu vaccine efficacy for 2018/2019.[/h] Paessler S[SUP]1,[/SUP][SUP]2[/SUP], Veljkovic V[SUP]3[/SUP].
[h=3]Author information[/h]
[h=3]Abstract[/h] 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.
[h=4]KEYWORDS:[/h] H3N2; electronic biology; influenza; vaccine efficacy
PMID: 29636902 PMCID: PMC5865198.2 DOI: 10.12688/f1000research.14140.2 Other versions
Free PMC Article
[h=1]Using electronic biology based platform to predict flu vaccine efficacy for 2018/2019.[/h] Paessler S[SUP]1,[/SUP][SUP]2[/SUP], Veljkovic V[SUP]3[/SUP].
[h=3]Author information[/h]
[h=3]Abstract[/h] 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.
[h=4]KEYWORDS:[/h] H3N2; electronic biology; influenza; vaccine efficacy
PMID: 29636902 PMCID: PMC5865198.2 DOI: 10.12688/f1000research.14140.2 Other versions
Free PMC Article