Sensitivity Run Outputs for Antimicrobial Resistance System Dynamics Models

A conceptual study by Carys J. Redman-White models antimicrobial resistance as a finite resource using System Dynamics. The 4.3 MB dataset contains outputs from multiparameter sensitivity analyses performed on two model variants, exploring the effects of human behavior and time lags on population-level susceptibility. The data was last updated on April 20, 2026.

Use Cases

• Compare model behavior between socio-ecological and surveillance-informed structures based on the described causal loop diagrams.
• Analyze the impact of relative fitness and timescale parameters on AMR trajectories based on the multiparameter sensitivity analysis.
• Test hypotheses about plateaux in AMR being influenced by human behavior rather than purely evolutionary forces.
• Explore the framing of antimicrobial susceptibility as a renewable natural resource for policy engagement scenarios.

Strengths

• Data is openly licensed under CC-BY-4.0, permitting reuse and modification.
• Outputs from a structured sensitivity analysis of two distinct model variants are included.
• The underlying study applies an established modelling technique (System Dynamics) in a novel context for AMR.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare, authored by Carys J. Redman-White.

Collection Method

Outputs from sensitivity analyses of System Dynamics models.

Time Range

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Freshness

Last updated 2026-04-20 17:40:03; freshness should be verified.

Geography

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