Analysing pneumococcal invasiveness using Bayesian models of pathogen progression rates
A. Lochen, J. E. Truscott, N. J. Croucher
This paper develops Bayesian models to estimate pneumococcal invasiveness from surveillance data, showing they provide accurate and informative estimates of progression rates from carriage to disease.
bioRxiv · Sep 1, 2021Microbiology