R-universe - ucd-serg (UC Davis Seroepidemiology Research Group (SeRG))

serocalculator - Estimating Infection Rates from Serological Data

Translates antibody levels measured in cross-sectional population samples into estimates of the frequency with which seroconversions (infections) occur in the sampled populations. Replaces the previous `seroincidence` package.

Last updated

epidemiologyincidence-estimationseroepidemiology

6.26 score 7 stars 1 dependents 17 scripts 595 downloads

serodynamics - Modeling Longitudinal Antibody Responses to Infection

Implements Bayesian hierarchical models for estimating antibody kinetic parameters from longitudinal serological data. Fits two-phase within-host models capturing antibody rise, peak, and decay following pathogen infection, using 'JAGS' for posterior inference. Designed as the upstream companion to the 'serocalculator' package for end-to-end seroepidemiological analysis. Methods are described in Teunis and colleagues (2016) <doi:10.1016/j.epidem.2016.04.001> and Teunis and van Eijkeren (2020) <doi:10.1002/sim.8578>.

Last updated

jagscpp

6.23 score 3 stars 8 scripts 478 downloads