Antimicrobial Resistance in Retail Meat Samples from Sindh, Pakistan

Safia Arbab's dataset from a 2026 figshare publication contains results from 123 retail meat samples collected in Sindh, Pakistan. It includes the prevalence of Gram-negative bacteria like Escherichia coli (37.4%) and Klebsiella spp. (25.2%) and their antimicrobial susceptibility patterns. The data shows high levels of resistance to antibiotics such as ampicillin and amoxicillin-clavulanate.

Use Cases

• Analyze the prevalence of specific bacterial species in retail meat based on the reported isolation percentages.
• Assess patterns of multidrug resistance in foodborne bacteria based on the described antimicrobial susceptibility testing.
• Investigate the role of meat types as reservoirs for resistant bacteria based on the sample categories mentioned.
• Support One Health surveillance initiatives by linking food safety data to public health concerns described in the study.

Strengths

• Includes specific, quantified results for bacterial prevalence across 7 species.
• Reports antimicrobial susceptibility patterns for multiple drug classes.
• Based on a defined sample size of 123 retail meat samples.
• Uses a standardized identification method (API 20E confirmation) as described.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect geographic bias inherent to the collection in Sindh, Pakistan.

Provenance

Source

Safia Arbab via figshare.

Collection Method

Samples were collected from retail outlets, with bacteria identified via culture, Gram staining, biochemical testing, and API 20E confirmation.

Time Range

null

Freshness

Last updated 2026-05-22 17:40:48; freshness should be verified.

Geography

Sindh, Pakistan.