Identification

Title

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

Abstract

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

Resource type

dataset

Resource locator

https://data-package.ceh.ac.uk/data/0239cdaf-deab-4151-8f68-715063eaea45

description: Download a copy of this data

function: download

https://data-package.ceh.ac.uk/sd/0239cdaf-deab-4151-8f68-715063eaea45.zip

description: Supporting information available to assist in re-use of this dataset

function: information

Unique resource identifier

code

https://catalogue.ceh.ac.uk/id/0239cdaf-deab-4151-8f68-715063eaea45

codeSpace

doi:

Dataset language

eng

Spatial reference system

code identifying the spatial reference system

Classification of spatial data and services

Topic category

health

Keywords

Geographic location

West bounding longitude

89.819

East bounding longitude

91.082

North bounding latitude

24.847

South bounding latitude

23.282

Temporal reference

Temporal extent

Begin position

2017-02-01

End position

2018-10-31

Dataset reference date

date type

publication

effective date

2019-02-08

Frequency of update

notPlanned

Quality and validity

Lineage

Samples were collected in the field and transported to the International Centre for Diarrhoeal Disease Research, Bangladesh to undergo laboratory analysis and storage. Field measurements and laboratory results were recorded on paper-based forms or generated from automated readings, entered into Excel then converted to .csv files for ingestion into the Environmental Information Data Centre.

Conformity

Conformity report

specification

title

Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services

reference date

date type

publication

effective date

2010-12-08

degree

explanation

Data format

name of format

Comma-separated values (CSV)

version of format

Constraints related to access and use

Constraint set

Limitations on public access

Constraint set

Limitations on public access

Constraint set

Limitations on public access

Constraint set

Limitations on public access

Constraint set

Limitations on public access

If you reuse this data, you should cite: Rousham, E.K., Islam, M.A., Unicomb, L., Asaduzzaman, M., Islam, R., Amin, B., Mozmader, T.I.M.A., Hossain, M.I., Rahman, M., Wood, P.J. (2019). Antibiotic resistance and resistant genes in Escherichia coli from human, poultry and environmental samples in urban and rural Bangladesh (2017-18). NERC Environmental Information Data Centre https://doi.org/10.5285/0239cdaf-deab-4151-8f68-715063eaea45

Responsible organisations

description: ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers.

function: information