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Models for predicting the evolution of influenza to inform vaccine strain selection
- Publication Year :
- 2018
- Publisher :
- Taylor & Francis, 2018.
-
Abstract
- Influenza vaccine composition is reviewed before every flu season because influenza viruses constantly evolve through antigenic changes. To inform vaccine updates, laboratories that contribute to the World Health Organization Global Influenza Surveillance and Response System monitor the antigenic phenotypes of circulating viruses all year round. Vaccine strains are selected in anticipation of the upcoming influenza season to allow adequate time for production. A mismatch between vaccine strains and predominant strains in the flu season can significantly reduce vaccine effectiveness. Models for predicting the evolution of influenza based on the relationship of genetic mutations and antigenic characteristics of circulating viruses may inform vaccine strain selection decisions. We review the literature on state-of-the-art tools and prediction methodologies utilized in modeling the evolution of influenza to inform vaccine strain selection. We then discuss areas that are open for improvement and need further research.
- Subjects :
- 0301 basic medicine
Influenza vaccine
Immunology
Reviews
Influenza season
Biology
World Health Organization
World health
03 medical and health sciences
0302 clinical medicine
Vaccine strain
Evolution of influenza
Influenza, Human
Flu season
Immunology and Allergy
Humans
030212 general & internal medicine
Antigens, Viral
Selection (genetic algorithm)
Pharmacology
virus diseases
Virology
030104 developmental biology
Influenza Vaccines
Seasons
Response system
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....0fb6fc3d153ab35aba1cedd618269337