A nosocomial measles outbreak in Italy, February-April 2017
Eurosurveillance·
- DOI
- 10.2807/1560-7917.es.2017.22.33.30597
- PMID
- 28840827
- PMCID
- PMC5572940
- OpenAlex
- —
- Study type
- Journal article
- Publisher
- European Centre for Disease Control and Prevention (ECDC)
- Article type
- journal-article
- Integrity
- current
Why this research matters now
The outbreak highlights vulnerabilities in hospital infection control during measles resurgence, including gaps in early case recognition and comprehensive identification of at-risk personnel in healthcare settings.
Structured evidence summary
Research question
The study describes a nosocomial measles outbreak in an Italian hospital during February–April 2017, examining the factors that sustained transmission among healthcare workers, support personnel, visitors, and community contacts.
Study design
This is a descriptive outbreak investigation of a hospital-associated measles cluster.
Population and setting
The outbreak involved 35 persons in an Italian hospital setting, including healthcare workers, support personnel, visitors, and community contacts exposed during the outbreak period.
Main findings
Delayed diagnosis of the index case, failure to promptly identify support personnel as hospital workers, and spread within the emergency department were major factors sustaining this 35-case nosocomial measles outbreak.
Public-health relevance
The outbreak highlights vulnerabilities in hospital infection control during measles resurgence, including gaps in early case recognition and comprehensive identification of at-risk personnel in healthcare settings.
Important limitations
This summary relies on the supplied single-article abstract and metadata only. The original publication is required for decision-grade interpretation of methods, detailed findings, and analytic limitations.
GIDS interpretation
The article was classified under outbreak investigation, transmission dynamics, and vaccination topics for measles in Italy. These links support discoverability in literature systems but do not confirm active surveillance signals or causality.
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 14 auditable classifier relationships to diseases, places, topics, and study design.