Sudan virus disease outbreak in Uganda: urgent research gaps
BMJ Global Health·
- DOI
- 10.1136/bmjgh-2022-010982
- PMID
- 36585031
- PMCID
- PMC9809242
- OpenAlex
- W4313365438
- Study type
- Journal article
- Publisher
- BMJ
- Article type
- journal-article
- Integrity
- current
Why this research matters now
The authors highlight limited SUDV research investment, no licensed vaccine or therapeutics, ongoing transmission across regions of Uganda including the capital, and an uncertain case count as drivers of concern.
Structured evidence summary
Research question
The paper examines gaps in research evidence on Sudan ebolavirus (SUDV) in the context of a Uganda outbreak and identifies priorities for future investigation.
Study design
A literature search across four databases using SUDV-related terms to identify and characterise published research studies on the virus.
Population and setting
Analysis of published SUDV research, most of which was conducted in the USA; Uganda was the setting for only one included study, with the broader context being the Uganda outbreak.
Main findings
Only 20 SUDV research studies were identified. The majority were carried out in the USA, with one in Uganda. By topic, nine addressed therapeutics, eight vaccines, and one each addressed diagnostics, One Health, and social science.
Public-health relevance
The authors highlight limited SUDV research investment, no licensed vaccine or therapeutics, ongoing transmission across regions of Uganda including the capital, and an uncertain case count as drivers of concern.
Important limitations
This summary is limited to the supplied single-article abstract and metadata; no explicit limitations are stated in the abstract. The original paper is needed for decision-grade interpretation.
GIDS interpretation
This is a research-gap perspective piece concerning SUDV outbreak preparedness. It is offered here as contextual literature for editorial review and is not linked to any live surveillance signal.
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 17 auditable classifier relationships to diseases, places, topics, and study design.