title: Estimating risk from small inocula by using population growth parameters.
abstract: Risk from an uncertain small inoculum depends on variability of single-cell lag times. However, quantifying single-cell variability is technically challenging. It is possible to estimate this variability using population growth parameters. We demonstrate this possibility using data from literature and show a Bayesian scheme for performing this task.
authors: Institute of Food Research, Norwich Research Park, Colney, Norwich NR4 7UA, United Kingdom. pradeep.malakar@bbsrc.ac.uk
authors: P K
authors: PK
authors: Malakar
authors: G C
authors: GC
authors: Barker
mesh_terms: D015169:Colony Count, Microbial / Q000379:methods*; D008089:Listeria monocytogenes / Q000254:growth & development*; D008962:Models, Theoretical