War of Fog: Strategic Decision-Making Data for Early Pandemic Stages

War of Fog is a dataset on strategic decision-making in the early stages of a pandemic, harvested from Borealis. The dataset likely contains information related to the TDODAR method and public health teamwork. It was authored by David Topps and last updated on April 25, 2026.

Use Cases

• Modeling decision-making sequences based on the TDODAR method described in the dataset.
• Analyzing teamwork dynamics in public health crisis scenarios.
• Training simulations for strategic planning in early pandemic response.
• Studying the factors influencing early-stage pandemic management decisions.

Strengths

• Focuses on a specific, high-stakes domain: strategic decision-making in early pandemic stages.
• Explicitly references a structured decision-making framework (TDODAR method).
• Last update timestamp is precisely recorded as 2026-04-25 04:17:11.

Limitations

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

Provenance

Source

Borealis Harvested Dataverse

Collection Method

Harvested from the Dataverse platform; specific collection method is not detailed.

Time Range

Temporal coverage is not specified.

Freshness

Last updated 2026-04-25 04:17:11; freshness should be verified.

Geography

Spatial coverage is not specified.