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

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 (SARI),...

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Detalles Bibliográficos
Autores principales: Van Goethem, Nina, Robert, Annie, Bossuyt, Nathalie, Van Poelvoorde, Laura A. E., Quoilin, Sophie, De Keersmaecker, Sigrid C. J., Devleesschauwer, Brecht, Thomas, Isabelle, Vanneste, Kevin, Roosens, Nancy H. C., Van Oyen, Herman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8353062/
https://www.ncbi.nlm.nih.gov/pubmed/34376182
http://dx.doi.org/10.1186/s12879-021-06510-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8353062/
https://www.ncbi.nlm.nih.gov/pubmed/34376182
http://dx.doi.org/10.1186/s12879-021-06510-z

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