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Hospital surveillance of influenza strains: a concordant image of viruses identified by the Swiss Sentinel system?

BACKGROUND: The Swiss Sentinel system for influenza virus surveillance reports influenza‐like illness in the community through a network of primary care practitioners, but the epidemiologic, demographic, and virological characterization may differ from that observed in hospitalized patients with inf...

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Detalles Bibliográficos
Autores principales: Gonçalves, Ana Rita, Iten, Anne, Suter‐Boquete, Patricia, Schibler, Manuel, Kaiser, Laurent, Cordey, Samuel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5155643/
https://www.ncbi.nlm.nih.gov/pubmed/27441401
http://dx.doi.org/10.1111/irv.12417
Descripción
Sumario:BACKGROUND: The Swiss Sentinel system for influenza virus surveillance reports influenza‐like illness in the community through a network of primary care practitioners, but the epidemiologic, demographic, and virological characterization may differ from that observed in hospitalized patients with influenza. OBJECTIVE: To compare demographic and virological data from hospital influenza cases with Sentinel system data during the 2014–2015 season. METHODS: We included 2623 in‐ and outpatients with a screening request for influenza A/B in a university teaching hospital in Geneva, Switzerland, and 933 participants from the Swiss Sentinel surveillance system and compared the demographic and virological data of the two populations, including the respective distribution of influenza subtypes, and conducted a phylogenetic comparison at the HA1 level of influenza viruses recovered in community and hospital cases. RESULTS: There were similar proportions of influenza strains recovered in the hospital and in the community (H3N2, 57.1% and 56.9%; H1N1pdm09, 15.5% and 14.2%; B, 27.4% and 28.8%, respectively). HA1 sequence analysis confirmed that all three strains were genetically similar between the two populations. During this particular season, influenza cases were detected earlier in the hospital than in the Sentinel system. CONCLUSIONS: Although an influenza surveillance system based on the community can predict the type of influenza strains that will be associated with hospitalizations, it fails to estimate the potential virulence of circulating strains. Further, the population characteristics in the community differ from those in hospitalized patients. This suggests that any national influenza surveillance system should include both community‐ and hospital‐based surveys.