Genomic epidemiology reveals geographically structured co-circulation of AFR10 and AFR13 Vibrio cholerae lineages driving cholera outbreaks in Tanzania (2022–2024)
Microbial Genomics·
- DOI
- 10.1099/mgen.0.001813
- PMID
- —
- PMCID
- —
- OpenAlex
- W7203672126
- Study type
- Genomic study
- Publisher
- Microbiology Society
- Article type
- journal-article
- Integrity
- current
Why this research matters now
Results inform public health interventions by clarifying transmission dynamics and antimicrobial resistance patterns relevant to treatment strategies. The authors emphasize the necessity for enhanced national and cross-border genomic surveillance to manage control efforts effectively.
Structured evidence summary
Research question
This study addresses the ongoing burden of cholera by investigating the genomic characteristics of circulating Vibrio cholerae strains. It aims to improve traceability of outbreak sources and understand transmission dynamics including virulence and resistance profiles.
Study design
The research employed a genomic epidemiological approach analyzing archived bacterial isolates collected between 2022 and 2024. Methods included sequencing, bioinformatics analysis, and phylogenetic reconstruction of samples from multiple regions.
Population and setting
Participants consisted of archived Vibrio cholerae isolates obtained from patients across sixteen regions in Tanzania during cholera outbreaks. The temporal scope covers the period from 2022 through 2024.
Main findings
Analysis identified two distinct transmission lineages with marked geographic stratification, specifically AFR10 near Lake Tanganyika and AFR13 widely distributed. Most isolates carried key virulence genes while showing resistance to co-trimoxazole and macrolides but lacking tetracycline resistance.
Public-health relevance
Results inform public health interventions by clarifying transmission dynamics and antimicrobial resistance patterns relevant to treatment strategies. The authors emphasize the necessity for enhanced national and cross-border genomic surveillance to manage control efforts effectively.
Important limitations
This summary is limited to the supplied single-article abstract and metadata, requiring the original paper for decision-grade interpretation. Specific study design nuances and potential biases cannot be fully verified without the complete text.
GIDS interpretation
This record aids in tracking genomic epidemiology trends related to cholera in East Africa. It offers contextual background on lineage distribution and resistance markers without linking to active real-time surveillance events.
Related GIDS surveillance
Literature context does not validate, explain, or change a surveillance signal. Exact and contextual relationships are shown separately.
Evidence relationships
This article has 11 auditable classifier relationships to diseases, places, topics, and study design.