Models for predicting the evolution of influenza to inform vaccine strain selection
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Title
Models for predicting the evolution of influenza to inform vaccine strain selection
Authors
Keywords
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Journal
Human Vaccines & Immunotherapeutics
Volume 14, Issue 3, Pages 678-683
Publisher
Informa UK Limited
Online
2018-01-17
DOI
10.1080/21645515.2017.1423152
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- Impact of Repeated Vaccination on Vaccine Effectiveness Against Influenza A(H3N2) and B During 8 Seasons
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- (2014) S. E. Ohmit et al. JOURNAL OF INFECTIOUS DISEASES
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