Sensitivity Analysis Results for Antimicrobial Resistance System Dynamics Models

Results from multiparameter sensitivity analyses of two System Dynamics models exploring antimicrobial resistance as a depletable resource. The dataset, created by Carys J. Redman-White and updated in April 2026, contains sensitivity testing outputs for models comparing 'Limits to Growth' structures with surveillance-informed prescribing. The 9.5 KB Excel file presents analysis results to support the conceptual framing of antimicrobial susceptibility as a common pool resource.

Use Cases

• Compare model behavior between socio-ecological and surveillance-informed structures based on the described causal loop diagrams.
• Analyze the effects of human behavior and time lags on population-level susceptibility based on the model variants described.
• Generate hypotheses about observed plateaux in AMR based on the sensitivity analysis of relative fitness and timescale parameters.
• Support public and policy engagement for sustainable antimicrobial management based on the resource extraction framing.

Strengths

• Dataset is openly licensed under CC-BY-4.0, permitting reuse and modification.
• File size is 9.5 KB, ensuring quick download and inspection.
• Models are designed to be applied to different microbes, antimicrobials, and host populations, suggesting conceptual flexibility.

Limitations

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

Provenance

Source

figshare

Collection Method

Output from sensitivity testing of System Dynamics models.

Time Range

Conceptual study with no specific temporal coverage indicated.

Freshness

Last updated 2026-04-20 17:40:13; freshness should be verified.

Geography

Models are context-agnostic, applicable to human or veterinary settings.