title: Trends in the levels of Escherichia coli in commercially harvested bivalve shellfish from England and Wales, 1999-2008.
abstract: Temporal trends in Escherichia coli concentrations in bivalve shellfish were examined using data collected from 57 production areas around the coast of England and Wales during 1999-2008. Downward trends were detected in annual geometric means of E. coli in shellfish from 12% of the sampling points. The percentage of class B areas (E. coli ≤ 4600/100 g shellfish in 90% of samples) increased from 69% to 86% during the 10-year period. The improvement in the microbial quality of shellfish is associated with sewerage improvement schemes largely implemented during 2000-2005. Upward trends were detected in 9% of the points. The causes of these increases are not known. It is recommended that quantitative sanitary profiling of shellfish waters and cost-benefit appraisal over long-term planning horizons are considered as part of sewerage investment programmes under the Water Framework Directive. This would allow greater scope to secure protection and improvement of shellfish water quality.
authors.affiliation: Centre for Environment, Fisheries & Aquaculture Science (Cefas), Aquatic Health and Hygiene Division, Food Safety Group, Weymouth Laboratory, Weymouth, Dorset DT4 8UB, UK. carlos.campos@cefas.co.uk
authors.forename: Carlos J A
authors.initials: CJ
authors.lastname: Campos
authors.forename: Richard
authors.initials: R
authors.lastname: Acornley
authors.forename: Owen C
authors.initials: OC
authors.lastname: Morgan
authors.forename: Simon
authors.initials: S
authors.lastname: Kershaw
mesh_terms: D000818:Animals; D049872:Bivalvia / Q000382:microbiology*; D004739:England; D004926:Escherichia coli / Q000254:growth & development* / Q000302:isolation & purification; D005398:Fisheries / Q000706:statistics & numerical data; D005516:Food Microbiology; D012758:Shellfish / Q000382:microbiology* / Q000706:statistics & numerical data; D014852:Wales; D014871:Water Microbiology; D014876:Water Pollution / Q000706:statistics & numerical data