Structure of general-population antibody titer distributions to influenza A virus.
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Authors
Nhat, Nguyen Thi DuyTodd, 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
Type
ArticleLanguage
en
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Structure of general-population antibody titer distributions to influenza A virus.Published in
Sci Rep 2017, 7(1):6060Publiekssamenvatting
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.PMID
28729702ae974a485f413a2113503eed53cd6c53
10.1038/s41598-017-06177-0
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