Evidence map›Paper›PMID 37085902›Full record

ArticleInfectious diseases of poverty2023

Public health implications of Yersinia enterocolitica investigation: an ecological modeling and molecular epidemiology study.

Yuan Yue, Jinxin Zheng, Mei Sheng, Xiang Liu, Qiong Hao, Shunxian Zhang, Shuai Xu, Zhiguo Liu, Xuexin Hou, Huaiqi Jing and 3 more

Open access · goldAbstract read
In one paragraph

Article in Infectious diseases of poverty, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
6.6field-weighted citation impact, top 3% 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

10 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Prevalence and Geographical Distribution of FoodborneAnimals : an open access journal from MDPI · 2026
    Review
  3. Observational
  4. Temperature Adaptive Biofilm Formation inAntibiotics (Basel, Switzerland) · 2025
    Article
  5. ZoonoticVeterinary sciences · 2025
    Review
  6. Article
  7. Article
  8. Current Challenges inMicroorganisms · 2025
    Review
  9. Article
  10. 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

13 authors at 5 institutions in 2 countries.

Yuan Yue *Key Laboratory of the Ministry of Education for the Conservation and Utilization of Special Biological Resources of Western China, Ningxia University, Yinchuan, People's Republic of China.ORCID http://orcid.org/0000-0003-1418-8051
Jinxin Zheng *Department of Nephrology, Ruijin Hospital, Institute of Nephrology, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China.
Mei ShengNingxia Hui Autonomous Region Centre for Disease Control and Prevention, Yinchuan, People's Republic of China.
Xiang LiuNingxia Hui Autonomous Region Centre for Disease Control and Prevention, Yinchuan, People's Republic of China.
Qiong HaoNingxia Hui Autonomous Region Centre for Disease Control and Prevention, Yinchuan, People's Republic of China.
Shunxian ZhangSchool of Global Health, Chinese Center for Tropical Diseases Research-Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China.
Shuai XuState Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People's Republic of China.
Zhiguo LiuState Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People's Republic of China.
Xuexin HouState Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People's Republic of China.
Huaiqi JingState Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People's Republic of China.
Yang LiuDepartment of Computer Science, Hong Kong Baptist University, Hong Kong, Special Administrative Region, People's Republic of China.
Xuezhang ZhouKey Laboratory of the Ministry of Education for the Conservation and Utilization of Special Biological Resources of Western China, Ningxia University, Yinchuan, People's Republic of China. zhouxuezhang@nxu.edu.cn.
Zhenjun LiState Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People's Republic of China. lizhenjun@icdc.cn.
National Institute for Communicable Disease Control and Prevention · CNNingxia Center for Diseases Prevention and Control · CNNingxia University · CNShanghai Jiao Tong University · CNHong Kong Baptist University · HK

Funding

Innovative Research Group Project of the National Natural Science Foundation of China 32060816National Key R&D Program of China 2019YFC1200700Natural Science Foundation of Ningxia Province 2022AAC03719
6 · The paper itself

Abstract

backgroundYersinia enterocolitica has been sporadically recovered from animals, foods, and human clinical samples in various regions of Ningxia, China. However, the ecological and molecular characteristics of Y. enterocolitica, as well as public health concerns about infection in the Ningxia Hui Autonomous Region, remain unclear. This study aims to analyze the ecological and molecular epidemiological characteristics of Y. enterocolitis in order to inform the public health intervention strategies for the contains of related diseases.

methodsA total of 270 samples were collected for isolation [animals (n = 208), food (n = 49), and patients (n = 13)], then suspect colonies were isolated and identified by the API20E biochemical identification system, serological tests, biotyping tests, and 16S rRNA-PCR. Then, we used an ecological epidemiological approach combined with machine learning algorithms (general linear model, random forest model, and eXtreme Gradient Boosting) to explore the associations between ecological factors and the pathogenicity of Y. enterocolitis. Furthermore, average nucleotide identity (ANI) estimation, single nucleotide polymorphism (SNP), and core gene multilocus sequence typing (cgMLST) were applied to characterize the molecular profile of isolates based on whole genome sequencing. The statistical test used single-factor analysis, Chi-square tests, t-tests/ANOVA-tests, Wilcoxon rank-sum tests, and Kruskal-Wallis tests.

resultsA total of 270 isolates of Yersinia were identified from poultry and livestock (n = 191), food (n = 49), diarrhoea patients (n = 13), rats (n = 15), and hamsters (n = 2). The detection rates of samples from different hosts were statistically different (χ

conclusionsThe data indicated geographical variations in the distribution of STs and CTs of Y. enterocolitica isolates in Ningxia. Our work offered the first evidence that the pathogenicity of isolates was directly related to fluctuations in temperature and precipitation of the environment. CgMLST typing strategies showed that the isolates were transmitted to the population via pigs and food. Therefore, strengthening health surveillance on pig farms in high-risk areas and focusing on testing food of pig origin are optional strategies to prevent disease outbreaks.

Indexed as

Yersinia enterocoliticaYersinia InfectionsAnimalsHumansMolecular EpidemiologyPublic HealthRatsRNA, Ribosomal, 16SSwineRNA, Ribosomal, 16SCore genome multilocus sequence typingEcologicalMachine learningMolecular epidemiologyNingxia, ChinaYersinia enterocolitica

Identifiers

PMID37085902
PMCPMC10120104
OpenAlexW4366742779

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.