994c9c66-cf12-44af-9716-810c18985e18 English ISO/IEC 8859-1 (also known as Latin 1) dataset dataset NERC EDS Environmental Information Data Centre Lancaster Environment Centre, Library Avenue, Bailrigg Lancaster LA1 4AP UK info@eidc.ac.uk https://eidc.ac.uk/ EIDC website The Environmental Information Data Centre (EIDC) is the UK's national data centre for terrestrial and freshwater sciences. information pointOfContact 2025-11-13T16:23:00 UK GEMINI 2.3 WGS 84 / Pseudo-Mercator Temporal and geographic distribution of multidrug-resistant human bacterial pathogens in urban waste piles, Blantyre, Malawi, 2022-2023 2025-09-10 publication https://catalogue.ceh.ac.uk/id/994c9c66-cf12-44af-9716-810c18985e18 10.5285/994c9c66-cf12-44af-9716-810c18985e18 doi: Ormsby, M., Mphasa, M., Mwapasa, T., Chidziwisano, K., Nambala, P., Morse, T., Feasey, N., Quilliam, R. (2025). Temporal and geographic distribution of multidrug-resistant human bacterial pathogens in urban waste piles, Blantyre, Malawi, 2022-2023. NERC EDS Environmental Information Data Centre 10.5285/994c9c66-cf12-44af-9716-810c18985e18 This dataset contains information relating to the temporal and geographic distribution of clinically relevant bacterial pathogens on waste materials (plastics, fabrics, organics) within urban waste piles, in Blantyre, Malawi. The data was collected between June 2022 and July 2023. This work was supported by the UKRI Natural Environment Research Council (NERC) as part of the GCRF SPACES project [grant number NE/V005847/1] and the Plastic Vectors project, "Microbial hitch-hikers of marine plastics: the survival, persistence & ecology of microbial communities in the 'Plastisphere'" [grant number NE/S005196/1]. Full details about this dataset can be found at https://doi.org/10.5285/994c9c66-cf12-44af-9716-810c18985e18 Michael Ormsby University of Glasgow Michael.Ormsby@glasgow.ac.uk pointOfContact Ormsby, M. University of Glasgow michael.ormsby@glasgow.ac.uk https://orcid.org/0000-0002-3991-2336 ORCID record 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. information author Mphasa, M. Kamuzu University of Health Sciences mmphasa@mlw.mw author Mwapasa, T. Malawi University of Business and Applied Sciences tmwapasa@mubas.ac.mw https://orcid.org/0000-0002-1953-3849 ORCID record 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. information author Chidziwisano, K. Malawi University of Business and Applied Sciences kchidziwisano@mubas.ac.mw https://orcid.org/0000-0002-1755-0469 ORCID record 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. information author Nambala, P. Kamuzu University of Health Sciences Peter.Nambala@lstmed.ac.uk https://orcid.org/0000-0002-2126-4502 ORCID record 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. information author Morse, T. University of Strathclyde Tracy.thomson@strath.ac.uk https://orcid.org/0000-0003-4185-9471 ORCID record 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. information author Feasey, N. St. Andrews University naf6@st-andrews.ac.uk https://orcid.org/0000-0003-4041-1405 ORCID record 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. information author Quilliam, R. University of Stirling richard.quilliam@stir.ac.uk https://orcid.org/0000-0001-7020-4410 ORCID record 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. information author University of Stirling EMAIL NOT PROVIDED owner NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian NERC EDS Environmental Information Data Centre info@eidc.ac.uk publisher Environmental Monitoring Facilities theme GEMET - INSPIRE themes, version 1.0 2008-06-01 publication Environmental risk Plastisphere LMICs Environmental health Environmental health Antimicrobials Human health otherRestrictions no limitations otherRestrictions This resource is available under the terms of the Open Government Licence otherRestrictions If you reuse this data, you should cite: Ormsby, M., Mphasa, M., Mwapasa, T., Chidziwisano, K., Nambala, P., Morse, T., Feasey, N., Quilliam, R. (2025). Temporal and geographic distribution of multidrug-resistant human bacterial pathogens in urban waste piles, Blantyre, Malawi, 2022-2023. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/994c9c66-cf12-44af-9716-810c18985e18 textTable English utf8 environment health 2022-01-01 2023-12-31 34.373 35.545 -16.315 -15.142 Comma-separated values (CSV) NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://data-package.ceh.ac.uk/sd/994c9c66-cf12-44af-9716-810c18985e18.zip Supporting information Supporting information available to assist in re-use of this dataset information https://data-package.ceh.ac.uk/data/994c9c66-cf12-44af-9716-810c18985e18 Download the data Download a copy of this data download dataset dataset 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 2010-12-08 Samples of plastic, fabric and organic material were collected from the environment. Isolate recovery, identification and antimicrobial resistance were investigated in controlled laboratory settings. Data underwent thorough validation at each stage, including replication, selective media confirmation, and regression modelling, ensuring high reliability and accuracy before submission.