Individual Antibody Trajectories with Bayesian Inference
A tool to help users understand how serojump infers missed infections using simulated data. Upload your own serological data or generate simulated trajectories to explore infection timing and antibody kinetics through Bayesian analysis. Note: serojump is computationally intensive, so this in-browser app may perform poorly on machines with low computational power. We recommend starting with short runs (≤2000 steps) for better performance. 🚀
Hodgson D, Hay J, Jarju S, Jobe D, Wenlock R, et al. (2025) serojump: A Bayesian tool for inferring infection timing and antibody kinetics from longitudinal serological data. PLOS Computational Biology 21(9): e1013467