biostudies-literatureUnknown7(46)Peng Y<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) China CDC weekly1449-1456https://www.ebi.ac.uk/biostudies/studies/S-EPMC12647941biostudies-literatureCharacteristics and Influencing Factors of Antimicrobial Resistance in <i>Salmonella</i> Isolated from Asymptomatic Workers - Yulin City, Guangxi Zhuang Autonomous Region, China, 2013-2024.PMC12647941Peng YLiu ZLi ZKan BLu XLuo MZhou CJiang NZhao HfalseCharacteristics and Influencing Factors of Antimicrobial Resistance in <i>Salmonella</i> Isolated from Asymptomatic Workers - Yulin City, Guangxi Zhuang Autonomous Region, China, 2013-2024.<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) 2025-01-01T00:00:00Z2025 Nov2026-06-05T16:46:38.258Z2026-05-18T03:13:21.784ZS-EPMC126479414131252710.46234/ccdcw2025.243