Prediction of influenza vaccine effectiveness for the influenza season 2017/18 in the US

Veljko Veljkovic, Slobodan Paessler

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

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.

Original languageEnglish (US)
Article number2067
JournalF1000Research
Volume6
DOIs
StatePublished - Jan 1 2017

Fingerprint

Influenza Vaccines
Viruses
Human Influenza
Vaccines
Orthomyxoviridae
Bioinformatics
Computational Biology
Vaccination
Infection

Keywords

  • H3N2
  • Influenza virus
  • Phylogenetic analysis
  • Seasonal influenza vaccine effectiveness

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Immunology and Microbiology(all)
  • Pharmacology, Toxicology and Pharmaceutics(all)

Cite this

Prediction of influenza vaccine effectiveness for the influenza season 2017/18 in the US. / Veljkovic, Veljko; Paessler, Slobodan.

In: F1000Research, Vol. 6, 2067, 01.01.2017.

Research output: Contribution to journalArticle

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