Sharka Epidemic Model Sensitivity Analysis Data

Sensitivity analysis data from a spatiotemporal stochastic model simulating the spread of sharka disease in a real landscape. The study, authored by Loup Rimbaud, identifies key epidemiological parameters like the mean latent period duration and orchard connectivity. It was published in 2020.

Use Cases

• Analyze the influence of the mean latent period duration parameter on epidemic model outcomes.
• Assess the impact of the connectivity of the first infected orchard on simulated disease spread.
• Compare sensitivity analysis results from broad-range parameter values versus sharka-specific realistic values.
• Examine the interaction of six epidemiological parameters using Sobol's method and polynomial regression.

Strengths

• Data is derived from a published study on a real-world plant epidemic (sharka).
• Analysis employs established sensitivity analysis methods like Sobol's method and polynomial regression.
• The dataset is openly available under a CC0 1.0 public domain license.

Limitations

• The underlying raw simulation data, row counts, and file formats are not specified.
• Data is static from a 2020 publication and may not reflect current epidemiological conditions.
• Model parameters are specific to sharka (Plum pox virus) and a particular landscape, limiting generalizability.

Provenance

Source

Dryad digital repository.

Collection Method

Outputs from sensitivity analyses of a spatiotemporal stochastic simulation model.

Freshness

Last updated on 2020-06-24.

Geography

Based on a real landscape affected by sharka, specific location not detailed.