E. Coli Antibiotic Resistance Trends in ICU and Non-ICU Patients

Zeling Dong's figshare dataset contains analysis of Escherichia coli infection and drug resistance trends in Guizhou, China. It includes rates for 17 antibiotics, extended-spectrum β-lactamase (ESBL) positivity, and multidrug resistance (MDR) for ICU and non-ICU patients. The data was last updated in April 2026.

Use Cases

• Analyze correlation between E. coli infection_rate and ESBL-positive_rate using Pearson's test.
• Model trends in comprehensive_drug_resistance_rate across 17 antimicrobial agents over time.
• Compare multidrug_resistance (MDR) rates between ICU_detection_rate and non-ICU patient groups.
• Assess the relationship between declining ICU detection rates and changes in drug resistance patterns.

Strengths

• Data covers resistance testing for 17 specific antibiotics.
• Analysis includes distinct metrics for ICU and non-ICU patient cohorts.
• Correlation analysis performed using a defined statistical method (two-tailed Pearson's test in SPSS 26.0).

Limitations

• Dataset is very small at 9.5 KB, indicating limited sample size or aggregated summary data only.
• Geographic scope is restricted to Guizhou, China, limiting generalizability.
• Specific row count, column names, and raw patient-level data are not provided.

Provenance

Source

Zeling Dong via figshare.

Collection Method

Bacterial identification and drug susceptibility testing performed using the VITEK-2 Compact system on samples from outpatients and inpatients.

Time Range

null

Freshness

Last updated in April 2026.

Geography

Guizhou, China.