Acinetobacter Baumannii Genomic Analysis from Veterinary Hospitals in Beijing

64 Acinetobacter baumannii isolates recovered from 1,136 environmental samples across eight veterinary hospitals in Beijing from September to December 2020. The dataset includes results from antimicrobial susceptibility testing and whole-genome sequencing, revealing environmental risk factors and genomic transmission patterns. It was authored by Yu Song and shared under a CC-BY-4.0 license.

Use Cases

• Modeling environmental risk factors for pathogen recovery based on sampling site and department data.
• Analyzing genomic transmission patterns and population structure using cgMLST and Bayesian lineage data.
• Profiling antimicrobial resistance genes (ARGs) and virulence factors (VFs) across different bacterial lineages.
• Investigating the association between specific environmental surfaces (e.g., floors, sinks) and pathogen isolation rates.

Strengths

• Includes genomic and phenotypic data for 64 bacterial isolates from a structured sampling of 1,136 environmental surfaces.
• Spatially and temporally specific, with samples collected from eight veterinary hospitals in Beijing over a four-month period in 2020.
• Employs multiple analysis methods, including generalized linear mixed-effects models (GLMMs) and Bayesian population structure analysis.

Limitations

• The dataset is small (25.2 KB), indicating limited scope and sample size.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale modeling.

Provenance

Source

figshare

Collection Method

Samples were collected from veterinary hospital environments, with isolates subjected to antimicrobial susceptibility testing and whole-genome sequencing.

Time Range

September to December 2020

Freshness

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

Geography

Eight veterinary hospitals in Beijing, China