Evidence map›Paper›PMID 36171585›Full record

ArticleBMC public health2022

Descriptive study of foodborne disease using disease monitoring data in Zhejiang Province, China, 2016-2020.

Xiaojuan Qi, Xialidan Alifu, Jiang Chen, Wenliang Luo, Jikai Wang, Yunxian Yu, Ronghua Zhang

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.3field-weighted citation impact, top 10% of its field
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

13 citing papers in PubMed, 26 citations in OpenAlex.

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  12. Epidemiological characteristics ofFrontiers in microbiology · 2023
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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

7 authors at 3 institutions in 1 country.

Xiaojuan QiDepartment of Nutrition and Food Safety, Zhejiang Provincial Center for Disease Control and Prevention, 3399 Binsheng Road, Binjiang District, 310051, Hangzhou City, Zhejiang Province, China.
Xialidan AlifuDepartment of Epidemiology & Health Statistics, School of Public Health, School of Medicine, Zhejiang University, 310058, Hangzhou City, Zhejiang Province, China.
Jiang ChenDepartment of Nutrition and Food Safety, Zhejiang Provincial Center for Disease Control and Prevention, 3399 Binsheng Road, Binjiang District, 310051, Hangzhou City, Zhejiang Province, China.
Wenliang LuoDepartment of Public Health, Department of Anesthesiology, Second Affiliated Hospital of Zhejiang University School of Medicine, 310003, Hangzhou City, Zhejiang Province, China.
Jikai WangDepartment of Nutrition and Food Safety, Zhejiang Provincial Center for Disease Control and Prevention, 3399 Binsheng Road, Binjiang District, 310051, Hangzhou City, Zhejiang Province, China.
Yunxian YuDepartment of Epidemiology & Health Statistics, School of Public Health, School of Medicine, Zhejiang University, 310058, Hangzhou City, Zhejiang Province, China. yunxianyu@zju.edu.cn.
Ronghua ZhangDepartment of Nutrition and Food Safety, Zhejiang Provincial Center for Disease Control and Prevention, 3399 Binsheng Road, Binjiang District, 310051, Hangzhou City, Zhejiang Province, China. rhzhang@cdc.zj.cn.
Zhejiang Center for Disease Control and Prevention · CNSecond Affiliated Hospital of Zhejiang University · CNZhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to identify the epidemiology, seasonality, aetiology and clinical characteristics of sporadic foodborne diseases in Zhejiang province during 2016-2020.

methodsDescriptive statistical methods were used to analyze the data from surveillance network established by the Zhejiang Provincial Center for Disease Control and Prevention. There were 31 designated hospitals in all 11 cities which were selected using probability proportionate to size sampling method.

resultsDuring the study period, the surveillance system received 75,124 cases with 4826 (6.42%) hospitalizations from 31 hospitals. The most common cause was Norovirus, 6120 cases (42.56%), followed by Salmonella, 3351 cases (23.30%). A significant seasonal trend was observed for the V. parahaemolyticus, with the highest rates over the summer period, peaking in August, 1171 cases (38.75%), a similar trend was also observed with Salmonella and Diarrheagenic E. coli. Norovirus infections showed the highest rate in November (904, 14.77%) and March (660,10.78%), the lowest in August, 215 cases (3.51%). Patients between 19 ~ 40 years were more likely to infected by Norovirus, V. parahaemolyticus and Diarrheagenic E. coli, patients below 1 year were the highest among patients with Salmonella infection, 881 cases (26.3%). The Norovirus, V. parahaemolyticus and Diarrheagenic E. coli infection with the highest positive detection rates among the workers were observed. The largest number cases of food categories were from aquatic product infection. The private home was the most common exposure setting.

conclusionOur study highlighted the necessity for conducting an active, comprehensive surveillance for pathogens in all age groups, to monitor the changing dynamics in the epidemiology and aetiology of foodborne diseases to guide policies that would reduce related illnesses.

Indexed as

Caliciviridae InfectionsEscherichia coli InfectionsFoodborne DiseasesNorovirusChinaEscherichia coliHumansSalmonellaChinaFoodborne pathogenFood safetyMicrobial hazardOccupationSurveillance network

Identifiers

PMID36171585
PMCPMC9520896
OpenAlexW4297473859

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.