Anthrax Infection Model Parameter Samples and Figure Code

Posterior distribution samples of model parameters from the paper "A stochastic intracellular model of anthrax infection with spore germination heterogeneity". The dataset includes Python computer codes to generate Figures 4, 5, 6, 7, 8, and 10 of the paper, which was published in Frontiers in Immunology. The author is Bevelynn Williams from the University of Leeds.

Use Cases

• Reproducing simulation results based on the provided posterior parameter samples and Python code.
• Validating stochastic infection models based on the anthrax spore germination heterogeneity framework.
• Analyzing parameter uncertainty in immunological models based on the posterior distribution samples.
• Extending the computational model for other pathogens based on the provided code structure.

Strengths

• Includes posterior distribution samples, which are a key output of the model calibration process.
• Provides executable Python code to regenerate specific figures from the published paper.
• Associated with a peer-reviewed publication in Frontiers in Immunology.

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

University of Leeds

Collection Method

Generated from the stochastic intracellular model described in the associated paper.