Applying Systems Thinking to Analytical System Development for Managing the Antimicrobial Resistance Crisis

Abstract

Antimicrobial resistance (AMR), arises from clinical and agricultural practices, has become a global and cross-sectoral human, animal, and environmental health crisis. Advances in analytical detection technology and data sharing will allow for quick diagnostics and treatment , real-time monitoring and analysis to minimize AMR exposure, and multi-variate spatiotemporal trend analysis inform targeted interventions and policy development. AMR surveillance requires the analysis of diverse sample matrices ranging from blood, urine, wastewater, environmental waters, to soils. These samples can contain many interferrants, particularly other contaminants like metals, microplastics, and organic pollutants, which can influence the apparent AMR signals. Thus, there is a need to drive innovation in cost-effective, rapid, and portable detection technologies and standardized testing methodologies for monitoring, understanding, and managing the complex AMR crisis.