{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["7(46)"],"submitter":["Peng Y"],"pubmed_abstract":["<h4>Introduction</h4>Asymptomatic carriers of antibiotic-resistant <i>Salmonella</i> constitute a significant yet frequently overlooked public health threat. This study aimed to characterize antimicrobial resistance (AMR) patterns in <i>Salmonella</i> isolated from asymptomatic workers in Yulin, China, over a 12-year period (2013-2024) and to identify the potential influence of natural and socioeconomic factors.<h4>Methods</h4>Antimicrobial susceptibility testing was performed against 11 antimicrobial agents. We analyzed temporal trends in AMR rates using the Mann-Kendall test and assessed associations between AMR rates and natural or socioeconomic variables using Spearman's rank correlation, Principal Component Regression (PCR), and Least Absolute Shrinkage and Selection Operator (LASSO) "],"journal":["China CDC weekly"],"pagination":["1449-1456"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12647941"],"repository":["biostudies-literature"],"pubmed_title":["Characteristics and Influencing Factors of Antimicrobial Resistance in &lt;i&gt;Salmonella&lt;/i&gt; Isolated from Asymptomatic Workers - Yulin City, Guangxi Zhuang Autonomous Region, China, 2013-2024."],"pmcid":["PMC12647941"],"pubmed_authors":["Peng Y","Liu Z","Li Z","Kan B","Lu X","Luo M","Zhou C","Jiang N","Zhao H"],"additional_accession":[]},"is_claimable":false,"name":"Characteristics and Influencing Factors of Antimicrobial Resistance in &lt;i&gt;Salmonella&lt;/i&gt; Isolated from Asymptomatic Workers - Yulin City, Guangxi Zhuang Autonomous Region, China, 2013-2024.","description":"<h4>Introduction</h4>Asymptomatic carriers of antibiotic-resistant <i>Salmonella</i> constitute a significant yet frequently overlooked public health threat. This study aimed to characterize antimicrobial resistance (AMR) patterns in <i>Salmonella</i> isolated from asymptomatic workers in Yulin, China, over a 12-year period (2013-2024) and to identify the potential influence of natural and socioeconomic factors.<h4>Methods</h4>Antimicrobial susceptibility testing was performed against 11 antimicrobial agents. We analyzed temporal trends in AMR rates using the Mann-Kendall test and assessed associations between AMR rates and natural or socioeconomic variables using Spearman's rank correlation, Principal Component Regression (PCR), and Least Absolute Shrinkage and Selection Operator (LASSO) ","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Nov","modification":"2026-06-05T16:46:38.258Z","creation":"2026-05-18T03:13:21.784Z"},"accession":"S-EPMC12647941","cross_references":{"pubmed":["41312527"],"doi":["10.46234/ccdcw2025.243"]}}