Evidence map›Paper›PMID 23820792›Full record

ArticleViruses2013

Norovirus contamination levels in ground water treatment systems used for food-catering facilities in South Korea.

Bo-Ram Lee, Sung-Geun Lee, Jong-Hyun Park, Kwang-Yup Kim, Sang-Ryeol Ryu, Ok-Jae Rhee, Jeong-Woong Park, Jeong-Su Lee, Soon-Young Paik

Abstract read
In one paragraph

Article in Viruses, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Article
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  11. Article
  12. Emergence of a novel GII.17 norovirus – End of the GII.4 era?Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2015
    Article
  13. Review
  14. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Bo-Ram LeeDepartment of Microbiology, College of Medicine, the Catholic University of Korea, Seoul 137-701, Korea.
Sung-Geun Lee
Jong-Hyun Park
Kwang-Yup Kim
Sang-Ryeol Ryu
Ok-Jae Rhee
Jeong-Woong Park
Jeong-Su Lee
Soon-Young Paik

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to inspect norovirus contamination of groundwater treatment systems used in food-catering facilities located in South Korea. A nationwide study was performed in 2010. Water samples were collected and, for the analysis of water quality, the temperature, pH, turbidity, and residual chlorine content were assessed. To detect norovirus genotypes GI and GII, RT-PCR and semi-nested PCR were performed with specific NV-GI and NV-GII primer sets, respectively. The PCR products amplified from the detected strains were then subjected to sequence analyses. Of 1,090 samples collected in 2010, seven (0.64%) were found to be norovirus-positive. Specifically, one norovirus strain was identified to have the GI-6 genotype, and six GII strains had the GII, GII-3, GII-4, and GII-17 genotypes. The very low detection rate of norovirus most likely reflects the preventative measures used. However, this virus can spread rapidly from person to person in crowded, enclosed places such as the schools investigated in this study. To promote better public health and sanitary conditions, it is necessary to periodically monitor noroviruses that frequently cause epidemic food poisoning in South Korea.

Indexed as

ChlorineFood HandlingFood IndustryGenotypeGroundwaterHumansHydrogen-Ion ConcentrationNorovirusPolymerase Chain ReactionRepublic of KoreaReverse Transcriptase Polymerase Chain ReactionRNA, ViralSequence Analysis, DNATemperatureChlorineRNA, Viral

Identifiers

PMID23820792
PMCPMC3738952

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.