ReviewOne health outlook2020
Novel opportunities for NGS-based one health surveillance of foodborne viruses.
Review in One health outlook, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed, 35 citations in OpenAlex.
- A Metagenomic Survey of Virological Hazards in Market-Ready Oysters.Food and environmental virology · 2025Article
- Traceback and Testing of Food Epidemiologically Linked to a Norovirus Outbreak at a Wedding Reception.Journal of food protection · 2025Article
- Transposase-Assisted RNA/DNA Hybrid Co-Tagmentation for Target Meta-Virome of Foodborne Viruses.Viruses · 2024Article
- Whole-Genome Sequencing-Based Confirmatory Methods on RT-qPCR Results for the Detection of Foodborne Viruses in Frozen Berries.Food and environmental virology · 2024Article
- Foodborne Pathogen Dynamics in Meat and Meat Analogues Analysed Using Traditional Microbiology and Metagenomic Sequencing.Antibiotics (Basel, Switzerland) · 2023Article
- A Review of Modern Methods for the Detection of Foodborne Pathogens.Microorganisms · 2023Review
- [Viruses present in the environment: virological considerations and examples of their impact on human health].Revue francophone des laboratoires : RFL · 2023Article
- Article
- Metagenomics to Detect and Characterize Viruses in Food Samples at Genome Level? Lessons Learnt from a Norovirus Study.Foods (Basel, Switzerland) · 2022Article
- Contamination of Hospital Surfaces with Bacterial Pathogens under the Current COVID-19 Outbreak.International journal of environmental research and public health · 2021Article
- SARS-CoV-2 transmission via aquatic food animal species or their products: A review.Aquaculture (Amsterdam, Netherlands) · 2021Article
- Article
- Human and Animal RNA Virus Diversity Detected by Metagenomics in Cameroonian Clams.Frontiers in microbiology · 2021Article
- A Targeted Metagenomics Approach to Study the Diversity of Norovirus GII in Shellfish Implicated in Outbreaks.Viruses · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Foodborne viral infections rank among the top 5 causes of disease, with noroviruses and hepatitis A causing the greatest burden globally. Contamination of foods by infected food handlers or through environmental pollution are the main sources of foodborne illness, with a lesser role for consumption of products from infected animals. Viral partial genomic sequencing has been used for more than two decades to track foodborne outbreaks and whole genome or metagenomics next-generation-sequencing (NGS) are new additions to the toolbox of food microbiology laboratories. We discuss developments in the field of targeted and metagenomic NGS, with an emphasis on application in food virology, the challenges and possible solutions towards future routine application.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.