Foot-and-Mouth Disease Outbreak Simulation Metrics for Cattle Contact Tracing

A 344.3 KB PDF file published on figshare by MaRyka Renae Smith on 2026-05-05. It contains results from a simulation study evaluating the impact of improved cattle traceability on Foot-and-Mouth Disease outbreak metrics in the United States. The study used InterSpread Plus to model outbreaks across multiple starting locations, farm types, detection days, and tracing levels.

Use Cases

• Compare outbreak size and duration under different contact tracing protocols based on the described simulation scenarios.
• Evaluate the potential impact of electronic identification (EID) systems on reducing infected premises based on the study's tracing levels.
• Analyze trade-offs between control zone size and surveillance burden based on the secondary objective described.
• Model the effect of outbreak detection timing on the efficacy of traceability improvements based on the day 8, 14, or 21 detection parameters.

Strengths

• The study design includes multiple controlled variables: six starting states, four farm types, three detection days, and three tracing levels.
• Outcome metrics are clearly defined, including infected premises, outbreak duration, and number of farms under surveillance.
• The analysis uses bootstrap confidence interval estimation for statistical validation.

Limitations

• The dataset is a PDF report; the underlying simulation data tables are not provided.
• Row count and column-level documentation are unknown, limiting direct data analysis.
• The file size is 344.3 KB, indicating a limited scope, likely containing summary results rather than raw simulation outputs.

Provenance

Source

figshare

Collection Method

Simulation using InterSpread Plus (ISP) with a US national livestock population file.

Freshness

Last updated 2026-05-05 04:15:03.

Geography

United States, with specific scenarios for California, Nebraska, Texas, New Mexico, New York, and Tennessee.