Environmental evidence for AMR surveillance
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Research on the data, methods and infrastructure needed to interpret environmental AMR evidence consistently—from sampling and measurement choices to laboratory comparability, spatial context and the integration of heterogeneous datasets.
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This includes evidence mapping, literature mining, surveillance-protocol development and assessment of where current data can—and cannot—support robust inference.
Methods and capabilities
Environmental risk assessment · One Health systems analysis · Environmental surveillance design · Water and sediment evidence · Exposure and pathway analysis · Geospatial modelling · Large-scale data integration · Evidence synthesis · Uncertainty and comparability assessment · Policy and regulatory analysis
Tools and platforms
Python · R · QGIS · PostgreSQL/PostGIS · Azure cloud computing · JASMIN/HPC · Git · AI-assisted evidence synthesis