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Temporal patterns of influenza a subtypes and B lineages across age in a subtropical city, during pre-pandemic, pandemic, and post-pandemic seasons

tetano

Editor, Senior Moderator
BMC Infect Dis. 2019 Jan 25;19(1):89. doi: 10.1186/s12879-019-3689-9.
[h=1]Temporal patterns of influenza a subtypes and B lineages across age in a subtropical city, during pre-pandemic, pandemic, and post-pandemic seasons.[/h] Zhou L[SUP]1[/SUP], Yang H[SUP]2[/SUP], Kuang Y[SUP]1[/SUP], Li T[SUP]2[/SUP], Xu J[SUP]2[/SUP], Li S[SUP]2[/SUP], Huang T[SUP]2[/SUP], Wang C[SUP]3[/SUP], Li W[SUP]1[/SUP], Li M[SUP]1[/SUP], He S[SUP]2[/SUP], Pan M[SUP]4[/SUP].
[h=3]Author information[/h]

[h=3]Abstract[/h] [h=4]BACKGROUND:[/h] Seasonal patterns of influenza A subtypes and B lineages in tropical/subtropical regions across age have remained to be explored. The impact of the 2009 H1N1 pandemic on seasonal influenza activity have not been well understood.
[h=4]METHODS:[/h] Based on a national sentinel hospital-based influenza surveillance system, the epidemiology of influenza virus during 2006/07-2015/16 was characterized in the subtropical city, Chengdu. Chengdu is one of the most populous cities in southwestern China, where the first reported case of A/H1N1pdm09 in mainland China was identified. Wavelet analysis was applied to identify the periodicities of A/H3N2, seasonal A/H1N1, A/H1N1pdm09, Victoria, and Yamagata across age, respectively. The persistence and age distribution patterns were described during the pre-pandemic (2006/07-2008/09), pandemic (2009/10), and post-pandemic (2010/11-2015/16) seasons.
[h=4]RESULTS:[/h] A total of 10,981 respiratory specimens were collected, of which 2516 influenza cases were identified. Periodicity transition from semi-annual cycles to an annual cycle was observed for composite influenza virus as well as A/H3N2 along in Chengdu since the 2009 H1N1 pandemic. Semi-annual cycles of composite influenza virus and A/H3N2 along were observed again during 2014/15-2015/16, coinciding with the emergence and predominance of A/H3N2 significant antigenic drift groups. However, A/H1N1pdm09, Victoria, and Yamagata generally demonstrated an annual winter-spring peak in non-pandemic seasons. Along with periodicity transitions, age groups with higher positive rates shifted from school-aged children and adults to adults and the elderly for A/H1N1pdm09 during 2009/10-2010/11 and for A/H3N2 during 2014/15-2015/16.
[h=4]CONCLUSIONS:[/h] Differences in periodicity and age distribution by subtype/lineage and by season highlight the importance of increasing year-round influenza surveillance and developing subtype/lineage- and age-specific prevention and control measures. Changes of periodicity and age shifts should be considered in public health response to influenza pandemics and epidemics. In addition, it is suggested to use quadrivalent influenza vaccines to provide protection against both influenza B lineages.


[h=4]KEYWORDS:[/h] Age distribution; Epidemiology; Influenza A subtypes; Influenza B lineages; Pandemic; Seasonality; Southwestern China

PMID: 30683067 DOI: 10.1186/s12879-019-3689-9
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