Antibiotic resistance and resistant genes in Escherichia coli from human, poultry and environmental samples in urban and rural Bangladesh (2017-18)

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Environmental Information Data Centre
Last updated:
16 February 2023
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Summary

The dataset includes information on antibiotic-resistance and resistance genes in bacteria (Escherichia coli) from humans, poultry and the environment in rural households, poultry farms and urban food markets. The rural households and poultry farms (broiler chickens) were located in Mirzapur, Tangail district; and urban food markets were located in Dhaka city, Bangladesh. Environmental samples were collected from surface water, water supply, wastewater, soil, animal faeces (poultry and cattle) and solid waste between February 2017 and October 2018 . DNA samples from antibiotic-resistant bacteria found in all samples were analysed for quantitative assessment of two resistance genes. Trained staff from the International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b) undertook sample collection and laboratory analysis. The aim of the study was to assess the prevalence and abundance of antibiotic-resistant bacteria and associated genes among humans, poultry and environmental compartments in Bangladesh. The survey was part of a wider research project, Spatial and Temporal Dynamics of Antimicrobial Resistance 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/10.5285/0239cdaf-deab-4151-8f68-715063eaea45

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Added to data.gov.uk
2022-05-18T12:30:03
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© Loughborough University
Harvest GUID
0239cdaf-deab-4151-8f68-715063eaea45
Extent
Latitude: 24.847° to 23.282°
Longitude: 89.819° to 91.082°
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Dataset reference date
2019-02-08 (publication)
Frequency of update
notPlanned
Responsible party
NERC EDS Environmental Information Data Centre (custodian); NERC Environmental Information Data Centre (publisher); Loughborough University (author, pointOfContact); International Centre for Diarrhoeal Disease Research, Bangladesh (author)
ISO 19139 resource type
dataset
Metadata language
eng
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