Genomic Analysis of Acinetobacter baumannii in Beijing Veterinary Hospitals, 2020

Beijing veterinary hospitals provided 1,136 environmental samples collected from September to December 2020. Yu Song published this dataset on figshare, which contains genomic and epidemiological data on 64 Acinetobacter baumannii isolates recovered from those samples. It includes results from antimicrobial susceptibility testing, whole-genome sequencing, and environmental risk factor modeling.

Use Cases

• Identify environmental hotspots for pathogen persistence based on surface and department isolation rates
• Analyze genomic relatedness and potential transmission patterns using cgMLST and SNP data
• Profile the distribution of antimicrobial resistance genes and virulence factors across lineages
• Model environmental risk factors for pathogen recovery using generalized linear mixed-effects models

Strengths

• Data is derived from a structured sampling of 1,136 environmental samples across eight hospitals
• Includes detailed genomic analysis results for 64 isolates, such as resistance gene profiles and lineage assignments
• Environmental risk factors are assessed with statistical models (GLMMs) that account for hospital-level random effects

Limitations

• Row count is unknown, which may limit suitability assessment
• Column-level documentation is absent; field semantics must be inferred after download
• Data may reflect geographic bias inherent to the study's focus on Beijing veterinary hospitals

Provenance

Source

figshare

Collection Method

Samples were collected from multiple departments and surface types, with isolates subjected to antimicrobial susceptibility testing and whole-genome sequencing.

Time Range

September to December 2020

Freshness

Last updated 2026-06-01 04:19:00; freshness should be verified

Geography

Eight veterinary hospitals in Beijing, China