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Dynamic patterns of circulating influenza virus from 2005 to 2012 in Shandong Province, China

tetano

Editor, Senior Moderator
Arch Virol. 2016 Aug 11. [Epub ahead of print]
[h=1]Dynamic patterns of circulating influenza virus from 2005 to 2012 in Shandong Province, China.[/h] Liu T[SUP]1[/SUP], Li Z[SUP]1[/SUP], Lin Y[SUP]1[/SUP], Song S[SUP]1[/SUP], Zhang S[SUP]1[/SUP], Sun L[SUP]1[/SUP], Wang Y[SUP]1[/SUP], Xu A[SUP]1[/SUP], Bi Z[SUP]2[/SUP], Wang X[SUP]3[/SUP].
[h=3]Author information[/h]

[h=3]Abstract[/h] To identify circulating emerging/reemerging viral strains and epidemiological trends, an influenza sentinel surveillance network was established in Shandong Province, China, in 2005. Nasal and/or throat swabs from patients with influenza-like-illness were collected at sentinel hospitals. Influenza viruses were detected by reverse transcription polymerase chain reaction (RT-PCR) or virus isolation. From October 2005 to March 2012, 7763 (21.44 %) of 36,209 swab samples were positive for influenza viruses, including 5221 (67.25 %) influenza A and 2542 (32.75 %) influenza B. While the influenza viruses were detected year-round, their type/subtype distribution varied significantly. Peak influenza activity was observed from November to February. The proportion of laboratory-confirmed influenza cases was highest among participants aged 0-4 years (14.97 %) in the 2005-2009 and 2010-2012 influenza seasons and the positivity rate of influenza A(H1N1)pdm09 was highest in the 15 to 24 year age group during the 2009-2010 influenza season. Genetic analysis of hemagglutinin (HA) and neuraminidase (NA) genes revealed that the viruses matched seasonal influenza vaccine strains in general, with some amino acid mutations. Influenza A(H1N1)pdm09 strains isolated in Shandong Province were characterized by an S203T mutation that is specific to clade 7 isolates. This report illustrates that the Shandong Provincial influenza surveillance system was sensitive in detecting influenza virus variability by season and by genetic composition. This system will help official public health target interventions such as education programs and vaccines.


PMID: 27515172 DOI: 10.1007/s00705-016-2997-2
[PubMed - as supplied by publisher]
 
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