Ilias Soumpasis

A proof-of-concept model for the identification of the key events in the infection process with specific reference to Pseudomonas aeruginosa in corneal infections

T. Pitt, I. Soumpasis, L. Knapp, 2015, Infection ecology & epidemiology.

Applications of omics approaches to the development of microbiological risk assessment using RNA virus dose–response models as a case study

P. Gale, L. Kelly, A. Hill, 2014, Journal of applied microbiology.

Estimation of prevalence of Salmonella on pig carcasses and pork joints, using a quantitative risk assessment model aided by meta-analysis.

Francis Butler, U. G. Barron, Geraldine Duffy, 2009, Journal of food protection.

Development and Application of a Stochastic Epidemic Model for the Transmission of Salmonella Typhimurium at the Farm Level of the Pork Production Chain

F. Butler, Ilias Soumpasis, 2009, Risk analysis : an official publication of the Society for Risk Analysis.

Real-life insights on menstrual cycles and ovulation using big data

S. Johnson, Ilias Soumpasis, B. Grace, 2020, Human reproduction open.

Controlling Salmonella infections in pig farms: A framework modelling approach

L. Alban, F. Butler, Ilias Soumpasis, 2012 .

Development of a Self‐Regulated Dynamic Model for the Propagation of Salmonella Typhimurium in Pig Farms

F. Butler, I. Soumpasis, Ilias Soumpasis, 2011, Risk analysis : an official publication of the Society for Risk Analysis.

An appraisal of the use of meat-juice serology monitoring data for estimating prevalence of cecal Salmonella carriage of pigs at slaughter by means of herd-level and animal-level simulation.

U. G. Barron, F. Butler, G. Duffy, 2009, Journal of food protection.

Development of a Self‐Regulated Dynamic Model for the Propagation of Salmonella Typhimurium in Pig Farms

F. Butler, Ilias Soumpasis, 2011, Risk analysis : an official publication of the Society for Risk Analysis.