
Hospital surveillance of influenza strains: a concordant image of viruses identified by the Swiss Sentinel system?
Author(s) -
Gonçalves Ana Rita,
Iten Anne,
SuterBoquete Patricia,
Schibler Manuel,
Kaiser Laurent,
Cordey Samuel
Publication year - 2017
Publication title -
influenza and other respiratory viruses
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.743
H-Index - 57
eISSN - 1750-2659
pISSN - 1750-2640
DOI - 10.1111/irv.12417
Subject(s) - medicine , virology , influenza season , human mortality from h5n1 , population , influenza like illness , virus , environmental health , influenza vaccine , covid-19 , infectious disease (medical specialty) , disease
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.