Epidemiological Model Performance Metrics for Three Examples

5.5 KB of tabular data comparing goodness-of-fit and parameter estimates for epidemiological models. The dataset, authored by Dhorasso Temfack and last updated in May 2026, evaluates methods based on CPU time and error metrics like MAE and RMSE for daily incidence and reproduction numbers. Results are provided for three distinct examples.

Use Cases

• Benchmark computational efficiency based on reported CPU time and standard deviation.
• Compare model accuracy for predicting daily incidence using the provided MAE and RMSE metrics.
• Evaluate parameter estimation consistency for epidemiological quantities like the effective reproduction number.
• Assess the trade-off between model fit and runtime across different methodological approaches.

Strengths

• Provides direct quantitative comparisons for three distinct examples.
• Includes multiple performance dimensions: computational time (CPU seconds) and prediction error (MAE, RMSE).
• Standard deviations are reported for CPU time, indicating measurement reliability.

Limitations

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

Provenance

Source

figshare

Freshness

Last updated 2026-05-18 17:39:15; freshness should be verified.