Serojump: A Bayesian tool for inferring infection timing and antibody kinetics from longitudinal serological data.

ABSTRACT: Understanding acute infectious disease dynamics at individual and population levels is critical for informing public health preparedness and response. Serological assays, which measure a range of biomarkers relating to humoral immunity, can provide a valuable window into immune responses generated by past infections and vaccinations. However, traditional methods for interpreting serological data, such as binary seropositivity and seroconversion thresholds, often rely on heuristics that fail to account for individual variability in antibody kinetics and timing of infection, potentially leading to biased estimates of infection rates and post-exposure immune responses. To address these limitations, we developed serojump, a novel probabilistic framework and software package that uses individua

SUBMITTER: Hodgson D 

PROVIDER: S-EPMC12453250 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature