Abstract copyright UK Data Service and data collection copyright owner.
This is a mixed method data collection. The study is part of the Rural Economy and Land Use (RELU) programme. Escherichia coli (E. coli) infection is a very serious threat to human health. It can be devastating and sometimes fatal, and children and elderly people are at particular risk. Little is known about how it is spread in rural environments. This RELU project brought together an interdisciplinary group of researchers from a wide range of natural and social science disciplines to generate evidence on how to reduce the risk of human E.coli 0157 in UK rural communities. This was addressed through the following work packages:WP 1a: Stakeholder perceptions of riskWP 1b: Carriage and immunity data from key groupsWP 2: Infectivity of E. coli O157 in the environmentWP3: Risk assessmentWP4: New Social Science DataWP5: Social acceptance and interventionWP6: Policy formulation and disseminationFurther information for this study may be found through the ESRC Research Catalogue webpage: Reducing E. coli risk in rural communities.
Main Topics:
The key objectives were to: provide an understanding of the awareness, attitudes and behaviour of different stakeholder groups towards E. coli O157 risk in the environment;ascertain and evaluate the persistence and asymptomatic carriage of E. coli O157 within the rural community;ascertain the physiological state of E. coli O157 in agricultural environments and to determine the degree to which E. coli O157 released into the plant-soil and water environment is capable of (re)infecting cattle and humans;formulate an initial suite of intervention and mitigation strategies to better manage E. coli O157 risk in rural areas;determine the economic cost and social acceptability of initial risk management strategies amongst stakeholder groups;produce a UK risk assessment map and policy-relevant strategies for the most viable management options for E. coli O157 amongst rural stakeholder groups.
Simple random sample
Purposive selection/case studies
Convenience sample
Self-completion
Physical measurements
Transcription of existing materials
Compilation or synthesis of existing material
