Public health implications of Yersinia enterocolitica investigation:an ecological modeling and molecular epidemiology study
作者机构：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 State 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 Ningxia Hui Autonomous Region Food Testing and Research Institute Yinchuan People’s Republic of China Department of Nephrology Ruijin Hospital Institute of Nephrology Shanghai Jiao Tong University School of Medicine Shanghai People’s Republic of China School of Global Health Chinese Center for Tropical Diseases Research-Shanghai Jiao Tong University School of Medicine Shanghai People’s Republic of China Ningxia Hui Autonomous Region Centre for Disease Control and Prevention Yinchuan People’s Republic of China Longhua Hospital Shanghai University of Traditional Chinese Medicine Shanghai People’s Republic of China Department of Computer Science Hong Kong Baptist University Hong Kong People’s Republic of China
出 版 物：《Infectious Diseases of Poverty》 (贫困所致传染病（英文）)
年 卷 期：2023年第12卷第2期
页 面：134-135页
核心收录：
学科分类：12[管理学] 1204[管理学-公共管理] 120402[管理学-社会医学与卫生事业管理(可授管理学、医学学位)] 1004[医学-公共卫生与预防医学(可授医学、理学学位)] 10[医学]
基 金：National Natural Fund Projects, (32060816) Ningxia Hui Autonomous Region, (2022AAC03719) National Key Research and Development Program of China, NKRDPC, (2019YFC1200601-6, 2019YFC1200700) National Key Research and Development Program of China, NKRDPC
主 题：Yersinia enterocolitica Ecological Machine learning Molecular epidemiology Core genome multilocus sequence typing Ningxia,China
摘 要：Background Yersinia enterocolitica has been sporadically recovered from animals,foods,and human clinical samples in various regions of Ningxia,***,the ecological and molecular characteristics of ***,as well as public health concerns about infection in the Ningxia Hui Autonomous Region,remain *** study aims to analyze the ecological and molecular epidemiological characteristics of *** in order to inform the public health intervention strategies for the contains of related *** A 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 ***,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 ***,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 *** statistical test used single-factor analysis,Chi-square tests,t-tests/ANOVA-tests,Wilcoxon rank-sum tests,and Kruskal–Wallis *** A 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^(2)=22.636,P0.001).According to the relatedness clustering results,270 isolates were divided into 12 species,and ***(n=187)is a predominated *** isolates made up 52.4%(98/187),while non-pathogenic isolates made up 47.6%(89/187).Temperature and precipitation were strongly associated with the pathogenicity of the
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