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    Structure of general-population antibody titer distributions to influenza A virus.

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    Authors
    Nhat, Nguyen Thi Duy
    Todd, Stacy
    de Bruin, Erwin
    Thao, Tran Thi Nhu
    Vy, Nguyen Ha Thao
    Quan, Tran Minh
    Vinh, Dao Nguyen
    van Beek, Janko
    Anh, Pham Hong
    Lam, Ha Minh
    Hung, Nguyen Thanh
    Thanh, Nguyen Thi Le
    Huy, Huynh Le Anh
    Ha, Vo Thi Hong
    Baker, Stephen
    Thwaites, Guy E
    Lien, Nguyen Thi Nam
    Hong, Tran Thi Kim
    Farrar, Jeremy
    Simmons, Cameron P
    Chau, Nguyen Van Vinh
    Koopmans, Marion
    Boni, Maciej F
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    Type
    Article
    Language
    en
    
    Metadata
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    Title
    Structure of general-population antibody titer distributions to influenza A virus.
    Published in
    Sci Rep 2017, 7(1):6060
    Publiekssamenvatting
    Seroepidemiological studies aim to understand population-level exposure and immunity to infectious diseases. Their results are normally presented as binary outcomes describing the presence or absence of pathogen-specific antibody, despite the fact that many assays measure continuous quantities. A population's natural distribution of antibody titers to an endemic infectious disease may include information on multiple serological states - naiveté, recent infection, non-recent infection, childhood infection - depending on the disease in question and the acquisition and waning patterns of immunity. In this study, we investigate 20,152 general-population serum samples from southern Vietnam collected between 2009 and 2013 from which we report antibody titers to the influenza virus HA1 protein using a continuous titer measurement from a protein microarray assay. We describe the distributions of antibody titers to subtypes 2009 H1N1 and H3N2. Using a model selection approach to fit mixture distributions, we show that 2009 H1N1 antibody titers fall into four titer subgroups and that H3N2 titers fall into three subgroups. For H1N1, our interpretation is that the two highest-titer subgroups correspond to recent and historical infection, which is consistent with 2009 pandemic attack rates. Similar interpretations are available for H3N2, but right-censoring of titers makes these interpretations difficult to validate.
    DOI
    10.1038/s41598-017-06177-0
    PMID
    28729702
    URI
    http://hdl.handle.net/10029/621028
    ae974a485f413a2113503eed53cd6c53
    10.1038/s41598-017-06177-0
    Scopus Count
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