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Title: Age-seroprevalence curves for the multi-strain structure of influenza A virus
Authors: Dao Nguyen Vinh
Nguyen Thi Duy Nhat
de Bruin, Erwin
Nguyen Ha Thao Vy
Tran Thi Nhu Thao
Huynh Thi Phuong
Pham Hong Anh
Todd, Stacy
Tran Minh Quan
Nguyen Thi Le Thanh
Nguyen Thi Nam Lien
Nguyen Thi Hong Ha
Tran Thi Kim Hong
Pham Quang Thai
Choisy, Marc
Tran Dang Nguyen
Simmons, Cameron P.
Thwaites, Guy E.
Clapham, Hannah E. 
Nguyen Van Vinh Chau
Koopmans, Marion
Boni, Maciej F.
Issue Date: 18-Nov-2021
Publisher: Nature Research
Citation: Dao Nguyen Vinh, Nguyen Thi Duy Nhat, de Bruin, Erwin, Nguyen Ha Thao Vy, Tran Thi Nhu Thao, Huynh Thi Phuong, Pham Hong Anh, Todd, Stacy, Tran Minh Quan, Nguyen Thi Le Thanh, Nguyen Thi Nam Lien, Nguyen Thi Hong Ha, Tran Thi Kim Hong, Pham Quang Thai, Choisy, Marc, Tran Dang Nguyen, Simmons, Cameron P., Thwaites, Guy E., Clapham, Hannah E., Nguyen Van Vinh Chau, Koopmans, Marion, Boni, Maciej F. (2021-11-18). Age-seroprevalence curves for the multi-strain structure of influenza A virus. Nature Communications 12 (1) : 6680. ScholarBank@NUS Repository.
Rights: Attribution 4.0 International
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 serological similarity and associate birth cohorts with their particular influenza histories. Our work shows that dimensionality reduction can be used on human antibody profiles to construct an age-seroprevalence relationship for antigenically variable pathogens. © 2021, The Author(s).
Source Title: Nature Communications
ISSN: 2041-1723
DOI: 10.1038/s41467-021-26948-8
Rights: Attribution 4.0 International
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