Influenza Forecast Model Inclusion Summary by Dominant Strain Period

A summary of models included in ensemble forecasts for influenza. The data reports the percentage of ensemble forecasts each model was included in and the number of models per forecast (minimum, maximum, and mean), broken down by periods when specific strain(s) dominated. The dataset was authored by Robert Moss and last updated on April 22, 2026.

Use Cases

• Analyze model selection patterns based on reported inclusion percentages per strain period.
• Study ensemble composition stability based on the minimum, maximum, and mean number of models per forecast.
• Investigate reasons for model exclusion based on criteria mentioned in the description, such as sensitivity to recent data trends.

Strengths

• Provides a breakdown by dominant strain periods, allowing for temporal analysis.
• Includes three summary statistics (minimum, maximum, mean) for the number of models per ensemble forecast.
• Released under a permissive CC-BY-4.0 license.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small (5.5 KB), indicating limited scope and likely summary-level data only.

Provenance

Source

Robert Moss, via figshare.

Collection Method

Likely compiled from the outputs of multiple forecasting models.

Time Range

Covers periods defined by dominant influenza strain(s); specific dates are not provided.

Freshness

Last updated 2026-04-22 18:00:18; freshness should be verified.

Geography

Geographic coverage is not specified in the provided metadata.