Outbreak of Marburg Virus Disease, Equatorial Guinea, 2023
Emerging Infectious Diseases·
- DOI
- 10.3201/eid3105.241749
- PMID
- 40180579
- PMCID
- PMC12044228
- OpenAlex
- W4409182814
- Study type
- Journal article
- Publisher
- Centers for Disease Control and Prevention (CDC)
- Article type
- journal-article
- Integrity
- current
Why this research matters now
The abstract emphasizes early isolation of symptomatic patients, community engagement, and stronger surveillance as priorities for outbreak control. It also notes that additional outbreak analysis and a One Health surveillance approach may support preparedness for possible future spillover events.
Structured evidence summary
Research question
The article addresses the 2023 Marburg virus disease outbreak in Equatorial Guinea, focusing on response organization, epidemiologic characteristics, transmission patterns, and timing measures such as serial interval and care-seeking or outcomes.
Study design
The abstract describes an outbreak investigation using laboratory-confirmed and probable case classifications, with descriptive epidemiologic analysis of cases, transmission chains, clinical features, risk factors, and timing intervals.
Population and setting
The reported setting was Equatorial Guinea during the February 2023 Marburg virus disease outbreak. The abstract identifies 39 total confirmed or probable cases across five districts, with transmission described in households and healthcare environments.
Main findings
The abstract reports 16 laboratory-confirmed and 23 probable cases, with a 90% case-fatality ratio. It also reports multiple transmission chains without clear links between them, clustering among families and healthcare settings, a median serial interval of 18.5 days, and transmission occurring mostly later in illness.
Public-health relevance
The abstract emphasizes early isolation of symptomatic patients, community engagement, and stronger surveillance as priorities for outbreak control. It also notes that additional outbreak analysis and a One Health surveillance approach may support preparedness for possible future spillover events.
Important limitations
The abstract does not provide detailed methods, ascertainment procedures, uncertainty intervals, or analytic limitations. This summary is limited to the supplied single-article abstract and metadata, and the full article would be needed for decision-grade interpretation.
GIDS interpretation
The supplied classifiers make the article discoverable under Marburg virus disease, Equatorial Guinea, outbreak investigation, and transmission dynamics. The additional disease labels should be treated as indexing context only and not as evidence of findings beyond the abstract.
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.