Results of AquaNet-Mod for projecting the economic burden of the World Organisation for An

Outputs from the Aquaculture Network Disease Model (AquaNet-Mod) for the fiscal year 2022-23. The data includes epidemic size, duration, and cost projections for viral haemorrhagic septicaemia under various disease control scenarios. The model was developed by researchers and the code is available on GitHub repositories.

Use Cases

• Compare the economic outcomes of different disease control scenarios based on the described scenario outputs.
• Analyze the relationship between epidemic duration and cost based on the summary data fields.
• Assess the sensitivity of model projections to parameter changes based on the sensitivity test outputs.
• Evaluate the impact of fallow period length on disease spread and cost based on the fallow_period sub-files.

Strengths

• Includes outputs for five distinct scenario categories, allowing for comparative analysis.
• Model code is publicly available in two GitHub repositories, supporting transparency and reproducibility.
• Summary data provides key epidemic metrics (size, duration, cost) for each simulation.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• One sub-file (n_sims) lacks economic data, limiting its use for full cost-benefit analysis.

Provenance

Source

Government Digital Service, likely originating from Cefas (Centre for Environment, Fisheries & Aquaculture Science) research.

Collection Method

Outputs from a computational epidemiological model (AquaNet-Mod).

Time Range

FY22-23

Freshness

Last update date is unknown; freshness unverified.

Geography

England and Wales