TyphiNET
TyphiNET enables exploration of Salmonella Typhi genotype and antimicrobial resistance distributions derived from publicly available pathogen genome sequences to inform typhoid control and intervention strategies.
Key Features:
- Country-level summaries: Displays frequency of pathogen lineages and temporal trends in resistance to clinically relevant antimicrobials.
- AMR mechanism resolution: Identifies specific variants and mechanisms underlying emergent antimicrobial resistance trends.
- Data curation: Populated by high-quality genome data curated by the Global Typhoid Pathogen Genomics Consortium and analysed using the Pathogenwatch platform.
- Sampling frame filtering: Includes only genomes from non-targeted sampling frames suitable for estimating AMR prevalence amongst Typhi infections.
Scientific Applications:
- Typhoid epidemiology: Supports exploration of pathogen lineage frequencies and geographic distribution patterns.
- Antimicrobial resistance surveillance: Tracks temporal trends in resistance to guide empirical therapy guidance.
- Vaccine implementation support: Informs national immunisation program planning where antimicrobial resistance prevalence is high.
- Public health policy: Provides genome-derived insights for typhoid control and intervention strategies to researchers and policy-makers.
Methodology:
Genome data are curated by the Global Typhoid Pathogen Genomics Consortium and analysed using the Pathogenwatch platform.
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Details
- Added:
- 2/22/2026
- Last Updated:
- 2/22/2026