phenomenaAMR

phenomenaAMR is an interdisciplinary framework for studying antimicrobial resistance (AMR) as a set of interacting phenomena that span biological, environmental, and social systems. It emphasizes the interconnected drivers and manifestations of resistance across scales, from molecular mechanisms to population dynamics and policy responses.

Origin and scope: The term emerged in scholarly and policy discussions in the 2020s as a way to organize diverse research streams under a common umbrella. It is not a fixed methodology but a flexible orientation that invites collaboration among microbiology, pharmacology, epidemiology, environmental science, social science, and data science.

Core components include data standards and interoperable databases, analytic workflows for modeling resistance spread and treatment outcomes, and case studies across clinical, agricultural, and environmental contexts. Educational resources explain AMR phenomena to researchers, policymakers, and the public.

Methods and tools: phenomenaAMR draws on systematic reviews, meta-analyses, network analysis, ecological and agent-based modeling, and cheminformatics. It promotes open data, transparent reporting, and integrated dashboards that visualize cross-sector resistance patterns and the potential effects of interventions.

Impact and challenges: The framework has influenced One Health discussions, policy planning, and research prioritization by highlighting cross-sector linkages. Critics note that phenomenaAMR can be underspecified without concrete benchmarks, and that effective use requires attention to data quality, governance, and contextual factors.

See also: Antimicrobial resistance, One Health, data interoperability, modeling for infectious diseases.