Antimicrobial Resistance Prevalence in Tanzania: Meta-Analysis of 28 Studies

28 studies from a systematic review of 1865 identified sources provide a meta-analysis of antimicrobial resistance (AMR) prevalence among clinically relevant pathogens in Tanzania. The dataset, created by Charles Basil Kafaiya and last updated in April 2026, includes resistance estimates for pathogens like Klebsiella pneumoniae and Escherichia coli against antibiotics such as penicillin and meropenem. Most isolates (25.0%) were from urine samples, and 92.9% of the included studies were conducted in hospital settings.

Use Cases

• Analyzing resistance patterns for specific pathogens like ESKAPE-E based on the reported prevalence estimates.
• Comparing antibiotic class resistance (e.g., Access vs. Watch groups) across different bacterial species mentioned in the meta-analysis.
• Informing antimicrobial stewardship and surveillance system design based on the high resistance rates to penicillin and ceftriaxone highlighted in the findings.
• Supporting subgroup analysis of resistance within antibiotic classes for specific pathogens as performed in the original study.

Strengths

• Includes specific, pooled resistance prevalence estimates with confidence intervals for multiple pathogen-antibiotic combinations.
• Based on a systematic review process that screened 1865 studies from sources like Google Scholar, PubMed, and Science Direct.
• Provides a focused geographic analysis on Tanzania, addressing a noted gap in consolidated AMR data for the region.

Limitations

• Row count is unknown, which may limit suitability assessment for large-scale modeling.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small (13.6 KB), indicating limited scope, likely containing only summary or quality assessment tables.

Provenance

Source

Systematic review and meta-analysis by author Charles Basil Kafaiya, sourced from platforms like Google Scholar, PubMed, and Science Direct.

Collection Method

Studies underwent screening and full article review; descriptive statistics and meta-analysis were used to estimate prevalence.

Time Range

null

Freshness

Last updated 2026-04-21 17:39:46; freshness should be verified.

Geography

Tanzania