Early spread of the 2009 influenza A(H1N1) pandemic in the United Kingdom – use of local syndromic data, May–August 2009
Eurosurveillance·
- DOI
- 10.2807/ese.16.03.19771-en
- PMID
- —
- PMCID
- —
- OpenAlex
- W2203297850
- 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 abstract states that local syndromic data were used to help identify hotspots, guide limited public health resources, and monitor outbreak progression.
Structured evidence summary
Research question
The article examines whether local syndromic surveillance data could track the early spread of pandemic influenza A(H1N1) in the United Kingdom during the first phase of the 2009 outbreak.
Study design
Journal article reporting a descriptive outbreak investigation that used local syndromic surveillance systems, with mapping alongside laboratory data and local intelligence.
Population and setting
United Kingdom, with local analyses in regions including the West Midlands and London during May to August 2009.
Main findings
In the early weeks, the syndromic indicators stayed low and most identified cases were travel-related. The abstract reports the first community spread in the West Midlands after a school outbreak in Birmingham, later community transmission in London, and earlier regional peaks in the West Midlands and London than in the rest of the UK.
Public-health relevance
The abstract states that local syndromic data were used to help identify hotspots, guide limited public health resources, and monitor outbreak progression.
Important limitations
The summary is limited to the supplied single-article abstract and metadata; the original paper is needed for decision-grade interpretation and any fuller assessment of methods or uncertainty.
GIDS interpretation
This article is discoverable as an outbreak-surveillance and transmission-monitoring report for influenza in the UK, but the abstract alone should not be treated as confirmation of 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 10 auditable classifier relationships to diseases, places, topics, and study design.