<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Nhat NTD</submitter><funding>Wellcome Trust</funding><pagination>6060</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC5519701</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>7(1)</volume><pubmed_abstract>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 us</pubmed_abstract><journal>Scientific reports</journal><pubmed_title>Structure of general-population antibody titer distributions to influenza A virus.</pubmed_title><pmcid>PMC5519701</pmcid><funding_grant_id>089276</funding_grant_id><funding_grant_id>098511/Z/12/Z</funding_grant_id><funding_grant_id>097465/B/11/Z</funding_grant_id><pubmed_authors>Ha VTH</pubmed_authors><pubmed_authors>Quan TM</pubmed_authors><pubmed_authors>Thwaites GE</pubmed_authors><pubmed_authors>Vy NHT</pubmed_authors><pubmed_authors>Thanh NTL</pubmed_authors><pubmed_authors>Hung NT</pubmed_authors><pubmed_authors>Huy HLA</pubmed_authors><pubmed_authors>de Bruin E</pubmed_authors><pubmed_authors>Todd S</pubmed_authors><pubmed_authors>Thao TTN</pubmed_authors><pubmed_authors>Lien NTN</pubmed_authors><pubmed_authors>Boni MF</pubmed_authors><pubmed_authors>Hong TTK</pubmed_authors><pubmed_authors>Lam HM</pubmed_authors><pubmed_authors>Anh PH</pubmed_authors><pubmed_authors>Nhat NTD</pubmed_authors><pubmed_authors>Baker S</pubmed_authors><pubmed_authors>Simmons CP</pubmed_authors><pubmed_authors>Chau NVV</pubmed_authors><pubmed_authors>Koopmans M</pubmed_authors><pubmed_authors>Farrar J</pubmed_authors><pubmed_authors>Vinh DN</pubmed_authors><pubmed_authors>van Beek J</pubmed_authors></additional><is_claimable>false</is_claimable><name>Structure of general-population antibody titer distributions to influenza A virus.</name><description>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 us</description><dates><release>2017-01-01T00:00:00Z</release><publication>2017 Jul</publication><modification>2025-04-26T12:14:54.417Z</modification><creation>2019-03-27T02:51:07Z</creation></dates><accession>S-EPMC5519701</accession><cross_references><pubmed>28729702</pubmed><doi>10.1038/s41598-017-06177-0</doi></cross_references></HashMap>