Serological classification of influenza infection has classically been based on a four-fold or higher increase in antibody levels, but this approach may not be optimal. Here, the authors develop a Bayesian model to improve identification of infections in serological samples by accounting for individual antibody dynamics.
- Tim K. Tsang
- Ranawaka A. P. M. Perera
- Simon Cauchemez
