Integrating AMR surveillance into wastewater monitoring systems in 2025: a position on the implementation of Article 17 of the Urban Wastewater Treatment Directive (UWWTD)
Year: 2026
Type: article
Abstract: The recast Urban Wastewater Treatment Directive (UWWTD) calls for monitoring antimicrobial resistance (AMR) in wastewater of large European agglomerations (≥ 100,000 person equivalents). Guidance on scope and methods is currently in development. Two European Joint Actions share a goal to harmonise procedures and indicators: the European Union (EU)-Wastewater Integrated Surveillance for Public Health (EU-WISH), aiming to strengthen wastewater-based surveillance (WBS) for public health and the EU-Joint Action Antimicrobial Resistance and Healthcare Associated Infections (EU-JAMRAI) 2, providing among others, approaches for environmental surveillance of AMR. An EU-WISH survey in 2024, mapping WBS AMR-related activities across Europe, revealed that of 27 countries surveyed, 11 had an operative AMR WBS system and mainly employed WBS to determine AMR trends, primarily through culture-based analyses, in-depth characterisation of specific bacteria, and quantitative PCR for specific resistance genes. Occasionally metagenomics was used. We argue that prioritising AMR WBS targets should consider the intended objectives of surveillance, which could include uncovering AMR trends and emerging AMR determinants in humans, the assessment of antimicrobial/AMR environmental release, and wastewater treatment efficiency. Targets should be assessed for their public health relevance and the usefulness of complementary information they provide, while integrating measurability, resource efficiency, and expertise from different One Health domains.
Source: Eurosurveillance
Institutions: Luxembourg Institute of Science and Technology, National Institute for Public Health and the Environment, National Institute of Health Dr. Ricardo Jorge, TU Wien, Interuniversity Cooperation Centre Water & Health, Norwegian Veterinary Institute, University of Helsinki, Finnish Institute for Health and Welfare, Delft University of Technology
Language: English
Subfield: Pollution
Field: Environmental Science
Domain: Physical Sciences
Open Access status: diamond
Awards: G1477054631, G2872175397
OpenAlex ID: W7125523249
