Evaluation of the added value of viral genomic information for predicting severity of influenza infection

Evaluation of the added value of viral genomic information for predicting severity of influenza infection

Abstract Background The severity of an influenza infection is influenced by both host and viral characteristics. This study aims to assess the relevance of viral genomic data for the prediction of severe influenza A(H3N2) infections among patients hospitalized for severe acute respiratory infection...

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Bibliographic Details
Main Authors: Nina Van Goethem, Annie Robert, Nathalie Bossuyt, Laura A. E. Van Poelvoorde, Sophie Quoilin, Sigrid C. J. De Keersmaecker, Brecht Devleesschauwer, Isabelle Thomas, Kevin Vanneste, Nancy H. C. Roosens, Herman Van Oyen
Format: Article
Language:English
Published: BMC 2021-08-01
Series:BMC Infectious Diseases
Subjects:
Seasonal influenza
Pathogen genomics
High-dimensional data analysis
Predictive modeling
Online Access:https://doi.org/10.1186/s12879-021-06510-z

Internet

https://doi.org/10.1186/s12879-021-06510-z

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