Molecular surveillance of norovirus, 2005–16: an epidemiological analysis of data collected from the NoroNet network
The Lancet Infectious Diseases·
- DOI
- 10.1016/s1473-3099(18)30059-8
- PMID
- 29396001
- PMCID
- —
- OpenAlex
- W2785242895
- Study type
- Journal article
- Publisher
- Elsevier BV
- Article type
- journal-article
- Integrity
- current
Why this research matters now
The findings highlight the need for sustained global norovirus surveillance to monitor immune escape, recombination, and genetic diversity trends that will inform future vaccine policy decisions.
Structured evidence summary
Research question
The study examined global genetic diversity and epidemiology of noroviruses using surveillance data to inform vaccine development.
Study design
This was an epidemiological analysis of genetic sequences from norovirus specimens collected through the NoroNet surveillance network between 2005 and 2016. Sequences from outbreak investigations and sporadic gastroenteritis cases were genotyped and analyzed for genetic diversity, drift variants, and recombination patterns.
Population and setting
The study analyzed specimens from outbreak investigations and sporadic gastroenteritis cases across Europe, Asia, Oceania, and Africa.
Main findings
A total of 16,635 norovirus sequences were analyzed, with 8.2% belonging to genotype GI and 91.7% to GII. Continuous changes in global norovirus genetic diversity were observed during the surveillance period.
Public-health relevance
The findings highlight the need for sustained global norovirus surveillance to monitor immune escape, recombination, and genetic diversity trends that will inform future vaccine policy decisions.
Important limitations
This summary relies on the supplied single-article abstract and bibliographic metadata. Full assessment of study limitations, methodological constraints, and sampling biases requires access to the complete published paper.
GIDS interpretation
This article is discoverable through classifier links to gastroenteritis, surveillance, outbreak investigation, vaccination, and health policy topics. It represents molecular epidemiology work relevant to understanding pathogen diversity patterns over time.
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.