<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Vinh DN</submitter><funding>Wellcome Trust</funding><pagination>6680</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC8602397</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>12(1)</volume><pubmed_abstract>The relationship between age and seroprevalence can be used to estimate the annual attack rate of an infectious disease. For pathogens with multiple serologically distinct strains, there is a need to describe composite exposure to an antigenically variable group of pathogens. In this study, we assay 24,402 general-population serum samples, collected in Vietnam between 2009 to 2015, for antibodies to eleven human influenza A strains. We report that a principal components decomposition of antibody titer data gives the first principal component as an appropriate surrogate for seroprevalence; this results in annual attack rate estimates of 25.6% (95% CI: 24.1% - 27.1%) for subtype H3 and 16.0% (95% CI: 14.7% - 17.3%) for subtype H1. The remaining principal components separate the strains by se</pubmed_abstract><journal>Nature communications</journal><pubmed_title>Age-seroprevalence curves for the multi-strain structure of influenza A virus.</pubmed_title><pmcid>PMC8602397</pmcid><funding_grant_id>089276</funding_grant_id><funding_grant_id>098511/Z/12/Z</funding_grant_id><funding_grant_id>089276/B/09/7</funding_grant_id><funding_grant_id>097465/B/11/Z</funding_grant_id><pubmed_authors>Quan TM</pubmed_authors><pubmed_authors>Thwaites GE</pubmed_authors><pubmed_authors>Nguyen TD</pubmed_authors><pubmed_authors>Vy NHT</pubmed_authors><pubmed_authors>Thanh NTL</pubmed_authors><pubmed_authors>Clapham HE</pubmed_authors><pubmed_authors>de Bruin E</pubmed_authors><pubmed_authors>Thao TTN</pubmed_authors><pubmed_authors>Todd S</pubmed_authors><pubmed_authors>Choisy M</pubmed_authors><pubmed_authors>Thai PQ</pubmed_authors><pubmed_authors>Lien NTN</pubmed_authors><pubmed_authors>Boni MF</pubmed_authors><pubmed_authors>Hong TTK</pubmed_authors><pubmed_authors>Anh PH</pubmed_authors><pubmed_authors>Nhat NTD</pubmed_authors><pubmed_authors>Ha NTH</pubmed_authors><pubmed_authors>Simmons CP</pubmed_authors><pubmed_authors>Chau NVV</pubmed_authors><pubmed_authors>Phuong HT</pubmed_authors><pubmed_authors>Koopmans M</pubmed_authors><pubmed_authors>Vinh DN</pubmed_authors></additional><is_claimable>false</is_claimable><name>Age-seroprevalence curves for the multi-strain structure of influenza A virus.</name><description>The relationship between age and seroprevalence can be used to estimate the annual attack rate of an infectious disease. For pathogens with multiple serologically distinct strains, there is a need to describe composite exposure to an antigenically variable group of pathogens. In this study, we assay 24,402 general-population serum samples, collected in Vietnam between 2009 to 2015, for antibodies to eleven human influenza A strains. We report that a principal components decomposition of antibody titer data gives the first principal component as an appropriate surrogate for seroprevalence; this results in annual attack rate estimates of 25.6% (95% CI: 24.1% - 27.1%) for subtype H3 and 16.0% (95% CI: 14.7% - 17.3%) for subtype H1. The remaining principal components separate the strains by se</description><dates><release>2021-01-01T00:00:00Z</release><publication>2021 Nov</publication><modification>2026-07-16T13:58:44.991Z</modification><creation>2022-02-11T13:26:29.986Z</creation></dates><accession>S-EPMC8602397</accession><cross_references><pubmed>34795239</pubmed><doi>10.1038/s41467-021-26948-8</doi></cross_references></HashMap>