ArticleThe American journal of tropical medicine and hygiene2025
Identification of Anthrax as the Cause of a Cluster of Unexplained Deaths, Uganda, 2023: The Role of Metagenomic Next-Generation Sequencing and Postmortem Specimens.
Article in The American journal of tropical medicine and hygiene, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Cocirculation of Human Monkeypox Virus Clade 1b with Varicella Zoster Virus, Uganda.Emerging infectious diseases · 2026Article
- A scalable HPC framework for bioinformatics in resource-limited settings: design principles, implementation, and sustainability from the UVRI experience.Bioinformatics (Oxford, England) · 2026Article
- teamNGS Balances Sensitivity for Viruses with Comprehensive Microbial Detection in Clinical Specimens.Microorganisms · 2025Article
- A novel post-mortem pathogen discovery program detects an outbreak of Echovirus E7: Uganda, 2022-2023.Frontiers in microbiology · 2025Article
- Isolation, identification, and sensitivity profile ofFrontiers in pediatrics · 2025Article
Corrections and comments
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Authors and funding
23 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Between April and November 2023, 27 unexplained human deaths that presented with swelling of the arms, skin sores with black centers, difficulty in breathing, obstructed swallowing, headaches, and other body aches were reported in Kyotera District, Uganda by the Public Health Emergency Operations Center. Subsequently, the death of cattle on farms and the consumption of carcass meat by some residents were also reported. Field response teams collected clinical/epidemiological data and autopsy samples to determine the cause of deaths. Metagenomic next-generation sequencing (mNGS) and target enrichment sequencing conducted on postmortem samples confirmed Bacillus anthracis, the etiological agent of anthrax disease, as the cause of the deaths. Applying mNGS to autopsy specimens is useful as a retrospective tool for identifying high-consequence pathogens during suspected outbreaks of unknown etiology.
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