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  • 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

  • This dataset contains the concentration of eleven antibiotics (trimethoprim, oxytetracycline, ciprofloxacin, azithromycin, cefotaxime, doxycycline, sulfamethoxazole, erythromycin, clarithromycin, ofloxacin, norfloxacin), three decongestants (naphazoline, oxymetazoline, xylometazoline) and the antiviral drug oseltamivir's active metabolite, oseltamivir carboxylate, measured at 21 locations within the River Thames catchment in England. The measurements were taken weekly during November 2009, once in March 2010 and once in May 2011, with the aim to quantify pharmaceutical usage during the influenza pandemic of 2009 and how this compares to inter-pandemic drug use. River samples were acquired by grab samples in glass jars and analysed by liquid chromatography tandem mass spectrometry (LC MS). Two wastewater treatment plants (WWTPs) in southern England (Benson and Oxford) were also sampled during the peak of the second wave of the 2009 influenza A[H1N1]pdm09 pandemic (10-11 November 2009) and on 15 May 2011 using an automated sampler set to acquired hourly (time proportional) samples from the influent and effluent of the WWTPs. The WWTPs are the source for all the drugs found in the river, hence, these were studied to understand the differential fate of the analytes in the two very different WWTPs. Flows for the WWTP and River sampling locations are presented for each of the sampling times to allow for determining hourly loads for the WWTP and daily loads for the river. Full details about this dataset can be found at https://doi.org/10.5285/8af983e4-e97d-4c07-a34d-753243fa283b