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September 5, 2025Open Access

A socio-ecological System Dynamics model of antimicrobial use and resistance

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Authors

CRCarys J. Redman-WhiteBKBirgit KopainskyAMAdrian Muwonge

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Overview

System dynamics model reveals human behavior impacts antimicrobial resistance patterns, indicating new management strategies.

Key Points

  • The socio-ecological model shows that human behavior affects antimicrobial resistance over time, suggesting new insights.
  • Causal loop diagrams helped define system structure and behavior, with sensitivity analyses revealing key differences in model outcomes.
  • Antimicrobial resistance is framed as a renewable resource, promoting sustainable management in both human and veterinary contexts.
  • Two model variants investigated—one based on anecdotal experience and the other on AMR surveillance—illustrate the influence of information on prescribing.

Cite This Study

Redman-White et al. (2025) studied this question.

synapsesocial.com/papers/68bb3d4e2b87ece8dc955a58https://doi.org/10.1101/2025.08.26.672312
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1A Systems Thinking Approach to Tackle Antimicrobial Resistance2024 · 3 citations
  2. 2Mapping the landscape of mathematical models for antimicrobial resistance: a scoping review2026
  3. 3From cells to populations: multi-scale quantitative approaches to antimicrobial resistance2026
  4. 4Predictive modelling of the dynamics of antimicrobial resistance: creation of a bank of renewable models based on machine learning2026
  5. 5Access and excess as interacting drivers of antimicrobial resistance in low and middle income countries2026