Toxoplasma Gondii Seropositivity Predictors in Sheep

A multivariable logistic regression model identifies predictors of Toxoplasma gondii infection in sheep. The model is stored in a 5.5 KB Excel file and was authored by Ruzanna Gevorgyan. It was last updated on April 16, 2026.

Use Cases

• Predict Toxoplasma gondii infection risk in sheep based on multivariable logistic regression model.
• Analyze epidemiological factors influencing seropositivity based on the model's predictors.
• Validate or compare logistic regression models for animal disease prediction.
• Support veterinary public health decision-making based on identified risk factors.

Strengths

• Model is openly licensed under CC-BY-4.0.
• File size is 5.5 KB, indicating a compact and focused dataset.

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

Ruzanna Gevorgyan

Freshness

Last updated 2026-04-16 17:29:59; freshness should be verified.