Mastitis Pathogen Occurrence and Antibiotic Resistance in South African Dairy Herds

Lydia C. Sizana's dataset documents the occurrence and antibiotic resistance profiles of bacteria causing bovine mastitis in the Dr. Kenneth Kaunda District of South Africa's North West Province. It is based on 1,730 quarter milk samples collected from seven dairy farms, with bacterial growth detected in 89.7% of samples. The data was last updated on 2026-05-19.

Use Cases

• Analyzing the prevalence of non-aureus Staphylococcus and other pathogens based on the reported occurrence percentages.
• Studying antimicrobial resistance patterns, such as resistance to penicillin G and amoxicillin-clavulanic acid, in mastitis isolates.
• Investigating the ecological shift from contagious to environmental pathogens described in the study.
• Assessing the burden of multidrug-resistant strains in dairy herds to inform hygiene and stewardship programs.

Strengths

• Dataset is based on a substantial sample size of 1,730 quarter milk samples.
• Provides specific, quantified findings such as bacterial growth in 89.7% of samples and the 48.2% prevalence of non-aureus Staphylococcus.
• Includes detailed antimicrobial resistance percentages for specific antibiotics against identified pathogens.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data reflects a specific geographic and temporal context inherent to the study, limiting generalizability.

Provenance

Source

Lydia C. Sizana

Collection Method

Bacteria were isolated and identified using culture-based methods, the Sensititre™ Aris 2X ID/AST system, and RapID panels. Antimicrobial susceptibility was determined via Kirby-Bauer Disk-diffusion assays.

Freshness

Last updated 2026-05-19 05:29:16; freshness should be verified.

Geography

Dr. Kenneth Kaunda District, North West Province, South Africa