High impact of molecular surveillance on hepatitis A outbreak case detection in Sweden: a retrospective study, 2009 to 2018
Eurosurveillance·
- DOI
- 10.2807/1560-7917.es.2021.26.9.1900763
- PMID
- 33663645
- PMCID
- PMC7934221
- OpenAlex
- W3134690060
- Study type
- Genomic study
- Publisher
- European Centre for Disease Control and Prevention (ECDC)
- Article type
- journal-article
- Integrity
- current
Why this research matters now
This paper is relevant to genomic epidemiology and outbreak investigation because it describes the use of sequence-based typing in Swedish hepatitis A surveillance. It provides literature context on how molecular data can help organize cluster detection work.
Structured evidence summary
Research question
To evaluate how sequence-based typing contributes to hepatitis A outbreak detection in Sweden and to summarize national hepatitis A epidemiology for surveillance improvement.
Study design
Retrospective analysis of hepatitis A virus sequences from Swedish notified cases during 2009-2018. The authors used phylogenetic clustering and then linked molecular results with epidemiological information.
Population and setting
Notified hepatitis A cases in Sweden from 2009 to 2018. The abstract states that 990 cases were notified and 447 were successfully sequenced.
Main findings
The sequencing analysis identified unique sequences, paired cases, and sequence-based clusters. Combining molecular and epidemiological information yielded 23 potential outbreaks involving 201 cases, and typing was needed to identify 15 of the 23 outbreak signals.
Public-health relevance
This paper is relevant to genomic epidemiology and outbreak investigation because it describes the use of sequence-based typing in Swedish hepatitis A surveillance. It provides literature context on how molecular data can help organize cluster detection work.
Important limitations
The summary is limited to the supplied single-article abstract and metadata. The full paper is needed for decision-grade interpretation, including details of analytic choices, case linkage rules, and study robustness.
GIDS interpretation
This article is discoverable as a Sweden-based hepatitis A genomic surveillance and outbreak investigation study published in Eurosurveillance. The abstract supports literature context only and does not justify any live surveillance conclusion.
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 12 auditable classifier relationships to diseases, places, topics, and study design.