James Ebdon

TL;DR: Several statistical or machine learning methods were evaluated and provided two successful predictive models based on just two variables, giving 100% correct classification: the ratio of the densities of somatic coliphages and phages infecting Bacteroides thetaiotaomicron to the density of somatics coliphage and the ratio

TL;DR: A feasible method for isolating Bacteroides host strains for phages present in human fecal material is described and useful strains were identified for application in Spain and the United Kingdom.

TL;DR: It is demonstrated that stable target populations required for marker-based MST occur around the globe, and tested ruminant-targeted assays appear to be suitable quantitative MST tools beyond the regional level while the targeted human-associated populations seem to be less prevalent and stable, suggesting potential for improvements in human- Targeted methods.

TL;DR: The study suggests that GB-124 appears to be specific to human faeces and may represent an effective and low-cost method of faecal source identification.

TL;DR: While the specificity of the human virus methods engenders great confidence in a positive result, better concentration methods and larger sample volumes must be utilized for greater accuracy of negative results, i.e. the prediction that a human contamination source is absent.