A Systems Thinking Approach to Tackle Antimicrobial Resistance.

Area of Science:

• Public Health
• Epidemiology
• Systems Science

Background:

• Antimicrobial resistance (AMR) represents a critical global health challenge.
• The complexity of AMR necessitates integrated, One Health approaches.
• Understanding interconnected drivers is crucial for effective AMR mitigation.

Purpose of the Study:

• To investigate the complex feedback mechanisms influencing AMR.
• To explore AMR drivers across interconnected One Health domains.
• To develop a system dynamics model for simulating AMR mitigation strategies.

Main Methods:

• Employed system dynamics methodology.
• Engaged diverse stakeholders for comprehensive input.
• Initiated the development of a simulation model.

Main Results:

• Identified numerous feedback loops contributing to AMR.
• Demonstrated that AMR drivers are not confined to healthcare.
• Confirmed the interconnectedness of factors across human, animal, and environmental health.

Conclusions:

• Holistic, One Health strategies are essential for combating AMR.
• System dynamics modeling provides a valuable tool for understanding and managing AMR.
• Interventions must address the broad spectrum of AMR drivers beyond clinical settings.