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Health

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  • This data is NERC-funded but not held by the EIDC. This data is archived in the National Center for Biotechnology Information (NCBI). Data consists of metagenomic datasets of faecal pellets collected from six-week old C57Bl/6 female mice orally infected with Citrobacter rodentium harbouring genetically modified antimicrobial resistance plasmids pC15-1a or RP4, respectively. Infections performed in May 2018. Faecal pellets collected prior to infection, and six days post-infection, and used to study changes in the methylation profile of organisms present in the intestine.

  • This data is NERC-funded but not held by the EIDC. This data is archived in the European Nucleotide Archive (ENA). This dataset contains sequences of the genomic DNA of gut microbiota of calves in response to preventive antibiotic therapy florfenicol obtained by DNA-seq. Importantly, the dataset also contains sequences of genes resistant to different antibiotics. The dataset was created from faecal samples (n=3) of the antibiotic treated animals over seven days and samples (n=3) of animals which have not been subjected to the antibiotic over the same time.

  • This data is NERC-funded but not held by the EIDC. This data is archived in the European Nucleotide Archive (ENA). This dataset contains sequences of 16S rRNA genes of gut microbiota of calves in response to preventive antibiotic therapy florfenicol by DNA-seq. The dataset was created from faecal samples (n=3) of the antibiotic treated animals over seven days and samples (n=3) of animals which have not been subjected to the antibiotic over the same time.

  • This data is NERC-funded but not held by the EIDC. This data is archived in the UK Data Service ReShare repository. The dataset contains data from a randomised controlled trial study which aimed to provide an evaluation of a smartphone app-based wellbeing intervention. The data comprise participant demographics and questionnaire responses supplied at the pre-, post- and follow-up phases of the study and geolocation data returned by the app as the participants entered areas designated as urban green spaces.

  • The dataset provides observational information on events when humans are in contact with poultry in rural and urban Bangladesh. Data were collected during observation periods of three hours duration in three settings where humans and poultry have close interactions: rural households with domestic poultry and small-scale commercial farms in rural areas of Tangail district and market stalls that sell, slaughter and process live poultry in Dhaka city. Observations on hygiene or handwashing behaviours that take place before or after contact with poultry, poultry products (eggs, meat) or poultry waste (bedding, faeces or carcasses) were also recorded. A structured observation sheet was used to record the number of occurrences of pre-defined activities. The objective was to record the types of contact behaviours and proportion of human-poultry interactions that could result in human exposure to antibiotic-resistant bacteria carried by poultry. The research was part of a wider research project, Spatial and Temporal Dynamics of Antimicrobial Resistance (AMR) Transmission from the Outdoor Environment to Humans in Urban and Rural Bangladesh. The research was funded by NERC/BBSRC/MRC on behalf of the Antimicrobial Resistance Cross-Council Initiative, award NE/N019555/1. Full details about this dataset can be found at https://doi.org/10.5285/76f52a38-7a2c-49a3-b86f-cc40205459ef

  • 'This data is NERC-funded but not held by the EIDC. This data is archived in the European Nucleotide Archive (ENA). Data consist of antisense RNA produced by calf gut microbiota in response to antibiotic treatment.

  • Prevalence of quinolone qnrS resistance gene in the aquatic environment from the Avon river catchment area receiving treated wastewater from 5 wastewater treatment plants (WWTPs), serving 1.5 million people and accounting for 75% of inhabitants living in the catchment area in the South West of England. Funded by NERC Grant NE/N019261/1 Full details about this dataset can be found at https://doi.org/10.5285/102f8141-2a9a-4ffd-89f6-961af36ddcb3

  • This dataset contains the answers gathered from the 806 participants who successfully finished an on-line survey on risk perception of environment-associated risks. The survey was launched on the 15th of February 2018 and ran for five days. The survey contained best worst scaling (BWS) to understand people’s perceptions to certain risks. In this study 16 risks were included in the BWS including four air-, food- and waterborne illnesses and 12 other hazards. The BWS was run in two blocks to consider two factors: first the respondents selected which risk they fear the most/least and in the second block they selected the risk they believed they had the most/least control. The survey also contained a detailed questionnaire on the participants eating habits and health status. Participants were also asked about their knowledge on enteric pathogens and whether they have ever sought or would consider seeking advice on the symptoms. Respondents were also asked whether they have experienced the hazards described in the BWS and whether they have done anything to reduce the risks in their life. The data were collected to gather information on people perceptions on environment-associated risks. This was done to understand the common knowledge on environment-associated pollutants and enlighten issues regarding risk management and mitigation. The data were collected as part of the VIRAQUA project was funded by the Natural Environment Research Council (NERC) under the Environmental Microbiology and Human Health (EMHH) Programme (NE/M010996/1). Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/0869d961-99ca-4946-9192-f35afccdda38

  • This dataset includes fully anonymised participant information, fully anonymised interview transcripts from audio-recorded interviews with 55 urban residents aged 17 to 86 years living in a UK northern city, and participants' anonymised drawings of 'feel good nature places'. The data were collected in seeking to understand cultures and values of nature and mental wellbeing among urban residents, particularly in the context of cultural background, gender, age, urban deprivation and levels of mental health. The project population sample was weighted to include more people of Black, Asian and Ethnic Minority background and more people living in an area of urban deprivation.

  • This dataset contains the calculated Carstairs Index at Output Area for Sheffield, created to facilitate spatial analysis of socioeconomic deprivation at smaller scales than is possible using the Index of Multiple Deprivation. The data were created for use in the Improving Well-being through Urban Nature project, which looked at the relationships between urban green space and health, especially mental health and well-being, using a variety of quantitative, qualitative and interventional methods, and using the English city of Sheffield as a case study.