Models for predicting the evolution of influenza to inform vaccine strain selection
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 ph...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2018-03-01
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| Series: | Human Vaccines & Immunotherapeutics |
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| Online Access: | http://dx.doi.org/10.1080/21645515.2017.1423152 |
| _version_ | 1797677458461294592 |
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| author | Joseph K. Agor Osman Y. Özaltın |
| author_facet | Joseph K. Agor Osman Y. Özaltın |
| author_sort | Joseph K. Agor |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-11T22:45:28Z |
| format | Article |
| id | doaj.art-23fccaddbcaa4c8d9f36b0245308793a |
| institution | Directory Open Access Journal |
| issn | 2164-5515 2164-554X |
| language | English |
| last_indexed | 2024-03-11T22:45:28Z |
| publishDate | 2018-03-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Human Vaccines & Immunotherapeutics |
| spelling | doaj.art-23fccaddbcaa4c8d9f36b0245308793a2023-09-22T08:17:54ZengTaylor & Francis GroupHuman Vaccines & Immunotherapeutics2164-55152164-554X2018-03-0114367868310.1080/21645515.2017.14231521423152Models for predicting the evolution of influenza to inform vaccine strain selectionJoseph K. Agor0Osman Y. Özaltın1Operations Research, North Carolina State UniversityNorth Carolina State UniversityInfluenza 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.http://dx.doi.org/10.1080/21645515.2017.1423152influenza evolutionprediction modelsinfluenza vaccinestrain selectionantigenic differenceinfluenza |
| spellingShingle | Joseph K. Agor Osman Y. Özaltın Models for predicting the evolution of influenza to inform vaccine strain selection Human Vaccines & Immunotherapeutics influenza evolution prediction models influenza vaccine strain selection antigenic difference influenza |
| title | Models for predicting the evolution of influenza to inform vaccine strain selection |
| title_full | Models for predicting the evolution of influenza to inform vaccine strain selection |
| title_fullStr | Models for predicting the evolution of influenza to inform vaccine strain selection |
| title_full_unstemmed | Models for predicting the evolution of influenza to inform vaccine strain selection |
| title_short | Models for predicting the evolution of influenza to inform vaccine strain selection |
| title_sort | models for predicting the evolution of influenza to inform vaccine strain selection |
| topic | influenza evolution prediction models influenza vaccine strain selection antigenic difference influenza |
| url | http://dx.doi.org/10.1080/21645515.2017.1423152 |
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