Evidence map›Paper›PMID 39592576›Full record

ArticleNature communications2024

High carriage and possible hidden spread of multidrug-resistant Salmonella among asymptomatic workers in Yulin, China.

Xin Lu, Ming Luo, Mengyu Wang, Zhemin Zhou, Jialiang Xu, Zhenpeng Li, Yao Peng, Yuan Zhang, Fangyu Ding, Dong Jiang and 9 more

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Retail wet markets, food handlers, and hospitalised patients as nodes in a shared non-typhoidal Salmonella ecosystem: a one health molecular epidemiological pilot study in Wuhan, China.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
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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

19 authors.

Xin Lu *National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 102206, Beijing, China.ORCID 0000-0001-6002-028X
Ming Luo *Yulin Center for Disease Control and Prevention, 537000, Guangxi, China.
Mengyu Wang *National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 102206, Beijing, China.
Zhemin Zhou *National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 102206, Beijing, China.ORCID 0000-0001-9783-0366
Jialiang Xu *School of Light Industry Science and Engineering, Beijing Technology and Business University, 100048, Beijing, China.ORCID 0000-0001-5702-4546
Zhenpeng LiNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 102206, Beijing, China.ORCID 0000-0002-5394-6153
Yao PengNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 102206, Beijing, China.
Yuan ZhangNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 102206, Beijing, China.
Fangyu DingInstitute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 100101, Beijing, China.ORCID 0000-0002-4082-8545
Dong JiangInstitute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 100101, Beijing, China.ORCID 0000-0002-4154-5969
Changyu ZhouYulin Center for Disease Control and Prevention, 537000, Guangxi, China.
Liya YangNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 102206, Beijing, China.
Wenxuan ZhaoNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 102206, Beijing, China.
Tian MaInstitute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 100101, Beijing, China.ORCID 0000-0001-9980-3329
Bo PangNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 102206, Beijing, China.
Meiying YanNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 102206, Beijing, China.
Yongning WuNHC Key Laboratory of Food Safety Risk Assessment, China National Center for Food Safety Risk Assessment, 100101, Beijing, China.ORCID 0000-0001-6430-1302
Yannong WuYulin Center for Disease Control and Prevention, 537000, Guangxi, China. 2839980@163.com.
Biao KanNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 102206, Beijing, China. kanbiao@icdc.cn.ORCID 0000-0002-6141-4552

Funding

National Natural Science Foundation of China (National Science Foundation of China) 32370099
6 · The paper itself

Abstract

Food workers have frequent contact with unprocessed foods, but their carriage of Salmonella and potential influence on public health have not been comprehensively assessed. We investigated Salmonella carriage among food workers compared with non-food workers based on occupational health screening of 260,315 asymptomatic workers over an 8-year surveillance period in Yulin, China. We confirmed that healthy carriers serve as natural reservoirs for Salmonella, with higher carriage rates in food workers than non-food workers. The isolates from food workers also exhibited greater serovar diversity and likely higher levels of antimicrobial resistance than those from non-food workers. Factors such as meteorological, social, and hygiene factors potentially influenced the carriage rate. Genomic analysis revealed a consistent increase in antimicrobial resistance genes among Salmonella isolates over the study period, with the majority of these antimicrobial resistance genes located on plasmids. Additionally, we identified numerous closely related bacterial clusters, which might reflect clusters of hidden local foodborne infections. This study underscores the elevated risk posed by food workers in the persistence and dissemination of Salmonella as vectors/fomites. Enhanced monitoring and targeted interventions in this group may reduce the dissemination of pathogens and antimicrobial resistance genes.

Indexed as

Carrier StateDrug Resistance, Multiple, BacterialSalmonellaSalmonella InfectionsAdultAnti-Bacterial AgentsChinaFemaleHumansMaleMicrobial Sensitivity TestsMiddle AgedPlasmidsAnti-Bacterial Agents

Identifiers

PMID39592576
PMCPMC11599845

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.