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June 1, 2026One EarthOpen Access

Identifying drivers of antibiotic resistance: Mathematical model of One Health interventions spotlights transmission and environmental pathways

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Authors

GKGwenan M. KnightRBRoss D. BootonJRJulie V. Robotham

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Overview

Mathematical modeling reveals that targeting transmission and environmental pathways yields the largest reduction in resistant bacteria, highlighting the need for cross-sector surveillance data.

Key Points

  • To evaluate the relative impact of One Health intervention packages across human, animal, and environmental sectors on antimicrobial resistance dynamics.
  • Developed a deterministic compartmental model integrating human, animal, and environmental interaction pathways.
  • Calibrated the model using surveillance data on third-generation cephalosporin-resistant Escherichia coli from Denmark, England, and Senegal.
  • Simulated intervention packages to estimate reductions in resistance resulting from targeting selection pressures versus transmission routes.
  • Interventions targeting bacterial spread and environmental contamination produced the largest simulated reductions in antimicrobial resistance burden.
  • Model outputs showed high uncertainty across all three country settings due to a persistent deficit in cross-sector surveillance data.

Cite This Study

Knight et al. (2026) studied this question.

synapsesocial.com/papers/6a836c02e01485c92eeefed7https://doi.org/10.1016/j.oneear.2026.101718
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