Applying systems thinking to analytical system development for managing the antimicrobial resistance crisis

Area of Science:

• Environmental science
• Public health
• Microbiology

Background:

• Antimicrobial resistance (AMR) is a significant global health crisis with origins in clinical and agricultural settings.
• It impacts human, animal, and environmental health, necessitating a cross-sectoral approach.
• Diverse sample matrices (blood, urine, wastewater, soil) are used for AMR monitoring.

Purpose of the Study:

• To highlight the need for advanced detection technologies and standardized methodologies for AMR.
• To emphasize the influence of interferents like metals and microplastics on AMR detection.
• To advocate for innovations in cost-effective, rapid, and portable AMR detection systems.

Main Methods:

• Review of current challenges in AMR detection.
• Analysis of the impact of various sample matrices and interferents.
• Discussion on the role of technology and data sharing in AMR management.

Main Results:

• Current detection methods face challenges due to diverse sample types and interferents.
• Advances in detection technology and data sharing are essential for real-time monitoring and analysis.
• Spatiotemporal trend analysis is needed for informed interventions and policy-making.

Conclusions:

• There is a critical need for innovation in developing cost-effective, rapid, and portable detection technologies for AMR.
• Standardized testing methodologies are required for accurate monitoring and understanding of AMR.
• Addressing AMR requires a comprehensive strategy involving technological advancement and policy development.