Computer Codes for a Stochastic Nosocomial Infection Spread Model

Computer codes authored by Martín López‐García from the University of Leeds for reproducing results from a paper in the Journal of the Royal Society Interface. The codes implement a unified stochastic modelling framework for the spread of hospital-acquired infections. The specific data formats, size, and last update date are unknown.

Use Cases

• Reproducing simulation results for a stochastic nosocomial infection model based on the described framework.
• Validating epidemiological model parameters and assumptions using the provided code.
• Developing extensions or modifications to the unified stochastic modelling framework for hospital infection spread.

Strengths

• Associated with a peer-reviewed publication in the Journal of the Royal Society Interface.
• Authored by a researcher from the University of Leeds, suggesting academic provenance.

Limitations

• Row count and data volume are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred from the code.
• Last update date is unknown; freshness unverified.

Provenance

Source

University of Leeds

Collection Method

Computer code created to accompany an academic paper.