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Location-specific patterns of exposure to recent pre-pandemic strains of influenza A in southern China

Author

Listed:
  • Justin Lessler

    (Johns Hopkins Bloomberg School of Public, Health)

  • Derek A.T. Cummings

    (Johns Hopkins Bloomberg School of Public, Health)

  • Jonathan M. Read

    (Institute of Infection and Global Health, University of Liverpool)

  • Shuying Wang

    (Guangzhou No. 12 Hospital)

  • Huachen Zhu

    (International Institute of Infection and Immunity, Shantou University Medical College
    State Key Laboratory of Emerging Infectious Diseases, The University of Hong Kong)

  • Gavin J.D. Smith

    (Laboratory of Virus Evolution, Program in Emerging Infectious Diseases, Duke-NUS Graduate Medical School)

  • Yi Guan

    (International Institute of Infection and Immunity, Shantou University Medical College
    State Key Laboratory of Emerging Infectious Diseases, The University of Hong Kong)

  • Chao Qiang Jiang

    (Guangzhou No. 12 Hospital)

  • Steven Riley

    (Li Ka Shing Faculty of Medicine, The University of Hong Kong)

Abstract

Variation in influenza incidence between locations is commonly observed on large spatial scales. It is unclear whether such variation occurs on smaller spatial scales and whether it is the result of heterogeneities in population demographics or more subtle differences in population structure and connectivity. Here we show that significant differences in immunity to influenza A viruses among communities in China are not explained by differences in population demographics. We randomly selected households from five randomly selected locations near Guangzhou, China to answer a questionnaire and provide a blood sample for serological testing against five recently circulating influenza viruses. We find a significant reduction in the frequency of detectable neutralization titers with increasing age, levelling off in older age groups. There are significant differences between locations in age, employment status, vaccination history, household size and housing conditions. However, after adjustment, significant variations in the frequency of detectable neutralization titers persists between locations. These results suggest there are characteristics of communities that drive influenza transmission dynamics apart from individual and household level risk factors, and that such factors have effects independent of strain.

Suggested Citation

  • Justin Lessler & Derek A.T. Cummings & Jonathan M. Read & Shuying Wang & Huachen Zhu & Gavin J.D. Smith & Yi Guan & Chao Qiang Jiang & Steven Riley, 2011. "Location-specific patterns of exposure to recent pre-pandemic strains of influenza A in southern China," Nature Communications, Nature, vol. 2(1), pages 1-9, September.
  • Handle: RePEc:nat:natcom:v:2:y:2011:i:1:d:10.1038_ncomms1432
    DOI: 10.1038/ncomms1432
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    Cited by:

    1. Justin Lessler & Steven Riley & Jonathan M Read & Shuying Wang & Huachen Zhu & Gavin J D Smith & Yi Guan & Chao Qiang Jiang & Derek A T Cummings, 2012. "Evidence for Antigenic Seniority in Influenza A (H3N2) Antibody Responses in Southern China," PLOS Pathogens, Public Library of Science, vol. 8(7), pages 1-11, July.
    2. Adam J Kucharski & Justin Lessler & Derek A T Cummings & Steven Riley, 2018. "Timescales of influenza A/H3N2 antibody dynamics," PLOS Biology, Public Library of Science, vol. 16(8), pages 1-19, August.

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