Simulated Foot-and-Mouth Disease Outbreak Metrics for US Cattle Traceability

A US-focused simulation study evaluating the impact of improved cattle traceability on Foot-and-Mouth Disease outbreaks. The dataset, authored by MaRyka Renae Smith and last updated in 2026, likely contains metrics from scenarios varying start location, farm type, detection day, and tracing level. It is a small dataset, approximately 926.7 KB, shared under a CC-BY-4.0 license.

Use Cases

• Modeling outbreak size reduction based on different electronic identification (EID) tracing levels described in the study.
• Comparing outbreak duration and infected premises across different simulated starting locations (e.g., California, Texas, Nebraska).
• Evaluating the trade-offs between control area size and the number of farms under surveillance as discussed in the results.
• Assessing the potential labor savings and business continuity benefits of an improved traceability system.

Strengths

• Scenario-based analysis includes six distinct US starting locations and four farm types.
• Outcome metrics are defined, including infected premises, outbreak duration, and farms under surveillance.
• Results include statistical analysis using bootstrap confidence interval estimation.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The data is contained within a PDF, which may require extraction for computational analysis.

Provenance

Source

figshare

Collection Method

Generated via simulation using the InterSpread Plus (ISP) model with a US national livestock population file.

Freshness

Last updated 2026-05-05 04:15:03; freshness should be verified.

Geography

United States (simulations for California, Nebraska, Texas, New Mexico, New York, Tennessee)