Evidence map›Paper›PMID 32091361›Full record

ArticleEmerging infectious diseases2020

Norovirus Outbreak Surveillance, China, 2016-2018.

Miao Jin, Shuyu Wu, Xiangyu Kong, Huaping Xie, Jianguang Fu, Yaqing He, Weihong Feng, Na Liu, Jingxin Li, Jeanette J Rainey and 3 more

Abstract read
In one paragraph

Article in Emerging infectious diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed, 3 pooled it
–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

61 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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1 more citing papers are in PubMed but not listed here.

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

13 authors.

Miao Jin
Shuyu Wu
Xiangyu Kong
Huaping Xie
Jianguang Fu
Yaqing He
Weihong Feng
Na Liu
Jingxin Li
Jeanette J Rainey
Aron J Hall
Jan Vinjé
Zhaojun Duan

Funding

ACL HHS U01GH002224CGH CDC HHS U01 GH002224
6 · The paper itself

Abstract

CaliciNet China, a network of provincial, county, and city laboratories coordinated by the Chinese Centers for Disease Control and Prevention, was launched in October 2016 to monitor the epidemiology and genotype distribution of norovirus outbreaks in China. During October 2016-September 2018, a total of 556 norovirus outbreaks were reported, and positive fecal samples from 470 (84.5%) outbreaks were genotyped. Most of these outbreaks were associated with person-to-person transmission (95.1%), occurred in childcare centers or schools (78.2%), and were reported during November-March of each year (63.5%). During the 2-year study period, 81.2% of all norovirus outbreaks were typed as GII.2[P16]. In China, most norovirus outbreaks are reported by childcare centers or schools; GII.2[P16] is the predominant genotype. Ongoing surveillance by CaliciNet China will provide information about the evolving norovirus genotype distribution and outbreak characteristics important for the development of effective interventions, including vaccines.

Indexed as

Disease OutbreaksAdolescentAdultAgedCaliciviridae InfectionsChildChild Health ServicesChild, PreschoolChinaFecesFemaleGastroenteritisGenotypeHumansMaleMiddle Agedacute gastroenteritisChinaenteric infectionsNorovirusoutbreaksurveillanceviruses

Identifiers

PMID32091361
PMCPMC7045832

What OpenQuestion holds

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LicenceCC BY
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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.