serosolver is a specialized tool for modeling antibody kinetics and reconstructing infection histories based on serological data. Utilizing a hierarchical model with a custom Markov chain Monte Carlo (MCMC) sampler, serosolver can infer infection timings and antibody response patterns from both cross-sectional and longitudinal data. It’s particularly useful for researchers aiming to understand infection timing and patterns in population studies by analyzing antibody responses.
serosolver functions as a time-since-infection model, where infection times are back-calculated using antibody kinetics, making it a powerful tool for epidemiological studies. It supports both single-antigen analysis with longitudinal data and multi-antigen panels for comprehensive infection history reconstruction.
Key Features of serosolver
Epidemiological Research Support: Provides insights into infection history patterns in populations, aiding in disease spread and immunity studies.
Hierarchical Modeling: Uses a hierarchical approach with a custom MCMC sampler to accurately model antibody kinetics and infection timelines.
Antibody Kinetics Modeling: Tracks antibody responses over time to provide insights into immune responses after infection.
Infection Timing Inference: Back-calculates infection times based on antibody measurements, useful in both cross-sectional and longitudinal studies.
Single and Multi-Antigen Analysis: Supports both single-antigen longitudinal studies and multi-antigen serology panels for lifetime infection history.
Flexible Data Types: Handles cross-sectional and longitudinal serological data, making it adaptable to various research needs.
