HAIviz

HAIviz integrates genomic, temporal, spatial, and patient-movement data to visualize and analyze healthcare-associated infection (HAI) outbreaks for genomic epidemiological investigations.

Key Features:

• Multi-layer data integration: Consolidates genomic, temporal, spatial, and movement datasets for combined genomic epidemiological analysis.
• Outbreak timeline and building map: Aligns temporal outbreak progression with spatial representations of healthcare facilities to resolve transmission in time and space.
• Phylogenetic tree integration: Incorporates phylogenetic trees to elucidate genetic relationships among pathogen strains during outbreaks.
• Patient bed-movement mapping: Maps patient bed movements within facilities to link individual-level location history to transmission events.
• Transmission network reconstruction: Constructs transmission networks that depict inferred transmission links among patients or locations.

Scientific Applications:

• Bacterial outbreak investigation in healthcare settings: Supports genomic epidemiological analyses to identify outbreak sources, transmission routes, and relationships among bacterial strains in healthcare-associated infections.
• Epidemiological studies in built environments: Enables spatially resolved investigations of infectious events within complex infrastructure using customized facility maps and integrated datasets.

Methodology:

Integrates genomic epidemiological datasets, incorporates phylogenetic trees, combines temporal, spatial, genetic, and patient movement data, and reconstructs transmission networks to support outbreak analysis.