socialmixr: Contact Matrices for Infectious Disease Modeling

socialmixr is an R package providing methods for sampling social contact matrices from diary survey data, as used in infectious disease modeling. The package is authored by Sebastian Funk and implements the methodology discussed in the foundational Mossong et al. (2008) study. The dataset's specific size, columns, and temporal coverage are not detailed in the provided metadata.

Use Cases

• Parameterizing age-structured disease transmission models based on contact diary data.
• Simulating the spread of airborne pathogens using empirically derived mixing patterns.
• Comparing social contact patterns across different populations or settings for public health research.

Strengths

• Implements a peer-reviewed methodology from Mossong et al. (2008), a key reference in the field.
• Provides a structured software tool (R package) for a specific, complex data processing task in epidemiology.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and dataset scale are unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Sebastian Funk

Collection Method

Methods for processing contact diary survey data, as per Mossong et al. (2008).