Staphylococcus Aureus Genomic Data from Bloodstream Infections in Central China, 2020-2024

Sudi Zhu's dataset comprises 96 Staphylococcus aureus isolates from bloodstream infections at a tertiary hospital in central China from 2020 to 2024. The data includes results from antimicrobial susceptibility testing, whole-genome sequencing, and bioinformatics analysis for resistance genes, virulence factors, and strain typing. MRSA accounted for 72.92% of the isolates.

Use Cases

• Analyze temporal trends in MRSA prevalence based on the reported stable proportion over the 5-year study period
• Identify co-occurrence patterns of antimicrobial resistance genes based on the reported frequent co-carriage of mec and bla family genes
• Study the distribution of virulence factors across strains based on the reported average of 74 virulence genes per isolate
• Investigate strain lineage and transmission using the reported 21 sequence types and dominant SCCmec types

Strengths

• Includes genomic data for 96 bacterial isolates from a 5-year period (2020-2024)
• Reports specific resistance rates, including 72.92% MRSA prevalence and susceptibility profiles for linezolid and rifampicin
• Contains detailed genomic analysis results, including 29 resistance gene types and an average of 74 virulence genes per strain

Limitations

• Row count is unknown, which may limit suitability assessment
• Column-level documentation is absent; field semantics must be inferred after download
• Data is from a single hospital in central China, which may limit generalizability

Provenance

Source

Sudi Zhu via figshare

Collection Method

Retrospective study of clinical isolates with antimicrobial susceptibility testing and whole-genome sequencing

Time Range

2020 to 2024

Freshness

Last updated 2026-04-14 05:38:38; freshness should be verified

Geography

A tertiary hospital in central China