Timescales of influenza A/H3N2 antibody dynamics.

ABSTRACT: Human immunity influences the evolution and impact of influenza strains. Because individuals are infected with multiple influenza strains during their lifetime, and each virus can generate a cross-reactive antibody response, it is challenging to quantify the processes that shape observed immune responses or to reliably detect recent infection from serological samples. Using a Bayesian model of antibody dynamics at multiple timescales, we explain complex cross-reactive antibody landscapes by inferring participants' histories of infection with serological data from cross-sectional and longitudinal studies of influenza A/H3N2 in southern China and Vietnam. We find that individual-level influenza antibody profiles can be explained by a short-lived, broadly cross-reactive response that decays w

SUBMITTER: Kucharski AJ 

PROVIDER: S-EPMC6117086 | biostudies-literature | 2018 Aug

REPOSITORIES: biostudies-literature