Using electronic biology based platform to predict flu vaccine efficacy for 2018/2019 [version 2; referees: 2 approved, 1 approved with reservations]
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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
F1000 Research Ltd
2018-05-01
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| Series: | F1000Research |
| Online Access: | https://f1000research.com/articles/7-298/v2 |
| Summary: | 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. |
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| ISSN: | 2046-1402 |