Genomic epidemiology and antimicrobial resistance reveal local transmission dynamics of enteric fever in Shenzhen, one of the mega cities in China
Journal of Infection·
- DOI
- 10.1016/j.jinf.2025.106469
- PMID
- 40058502
- PMCID
- —
- OpenAlex
- W4408241531
- Study type
- Genomic study
- Publisher
- Elsevier BV
- Article type
- journal-article
- Integrity
- current
Why this research matters now
Mapping these genetic and resistance patterns assists authorities in anticipating spread routes and prioritizing monitoring efforts in densely populated regions.
Structured evidence summary
Research question
The investigation seeks to map circulating pathogen strains and transmission patterns in a major Chinese urban center to inform public health interventions.
Study design
Researchers integrated phylogenomic sequencing with historical epidemiological records spanning more than a decade.
Population and setting
The analysis utilized bacterial isolates gathered from individuals in Shenzhen, China, between 2001 and 2017.
Main findings
Sequencing demonstrated considerable strain variation among Salmonella Typhi, highlighting two primary genetic groups and a distinct lineage linked to specific resistance markers alongside a persistently circulating multidrug-resistant variant. Salmonella Paratyphi A displayed uniform genetic characteristics, while molecular clustering identified numerous localized transmission chains and cross-provincial pathogen movement. Although initial antibiotic treatments remained effective for the majority of samples, a measurable fraction exhibited broad drug resistance.
Public-health relevance
Mapping these genetic and resistance patterns assists authorities in anticipating spread routes and prioritizing monitoring efforts in densely populated regions.
Important limitations
This summary is restricted to the provided abstract and metadata; consulting the full manuscript is necessary for decision-grade interpretation.
GIDS interpretation
The publication supplies baseline genomic and resistance data for a specific metropolitan cohort, offering reference material for regional tracking frameworks without implying real-time alert generation.
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 13 auditable classifier relationships to diseases, places, topics, and study design.