Reconstruction of antibody dynamics and infection histories to evaluate dengue risk.

ABSTRACT: As with many pathogens, most dengue infections are subclinical and therefore unobserved ¹ . Coupled with limited understanding of the dynamic behaviour of potential serological markers of infection, this observational problem has wide-ranging implications, including hampering our understanding of individual- and population-level correlates of infection and disease risk and how these change over time, between assay interpretations and with cohort design. Here we develop a framework that simultaneously characterizes antibody dynamics and identifies subclinical infections via Bayesian augmentation from detailed cohort data (3,451 individuals with blood draws every 91 days, 143,548 haemagglutination inhibition assay titre measurements)^2,3. We identify 1,149 infections (95

SUBMITTER: Salje H 

PROVIDER: S-EPMC6064976 | biostudies-literature | 2018 May

REPOSITORIES: biostudies-literature