Global distribution of antimicrobial resistance patterns in animal slaughterhouse environments: An updated and comprehensive review with evidence

This dataset was generated as part of a comprehensive systematic review investigating the global distribution and patterns of antimicrobial resistance (AMR) in animal slaughterhouse environments. The primary hypothesis underlying the study was that slaughterhouse settings act as important interfaces for the emergence and dissemination of antimicrobial-resistant bacteria across different animal production systems and geographic regions. The dataset compiles extracted quantitative and qualitative information from more than fifty peer-reviewed studies conducted across multiple continents. Variables included study location, sampling period, slaughterhouse type, sample source (e.g., carcasses, wastewater, environmental swabs, worker samples), bacterial species identified, phenotypic antimicrobial resistance profiles, and detection of resistance genes. The data were systematically collected following predefined inclusion criteria and standardized extraction protocols to ensure comparability across studies. The compiled dataset demonstrates substantial heterogeneity in antimicrobial resistance prevalence, with frequent reports of multidrug-resistant Escherichia coli, Salmonella, Campylobacter, and other zoonotic pathogens in slaughterhouse environments. Notable findings include consistently high resistance to commonly used antimicrobials such as tetracycline, ampicillin, sulfonamides, and fluoroquinolones, as well as documented presence of clinically relevant resistance genes including blaCTX-M, mcr, tet, and sul variants. This dataset can be used for secondary analyses, comparative risk assessments, meta-analytic modeling, and surveillance mapping to better understand AMR transmission dynamics at the human–animal–environment interface. Researchers and policymakers may also utilize the dataset to identify regional knowledge gaps, prioritize intervention points along meat production chains, and support One Health-based antimicrobial stewardship strategies.

本数据集是为一项全面系统综述生成的，该综述旨在探究动物屠宰场环境中抗菌素耐药性（antimicrobial resistance, AMR）的全球分布与模式。本研究的核心假设为：屠宰场环境是不同动物生产体系与地理区域间，抗菌素耐药细菌产生与播散的重要交汇界面。本数据集整合了来自全球多大洲的50余篇同行评议研究中提取的定量与定性信息，收录的变量包括研究地点、采样周期、屠宰场类型、样本来源（例如畜禽胴体、废水、环境拭子、从业人员样本）、已鉴定细菌菌种、表型抗菌素耐药性谱，以及耐药基因检测结果。所有数据均按照预先设定的纳入标准与标准化提取规程进行系统采集，以保障不同研究间的可比性。整合后的数据集显示，抗菌素耐药性的流行率存在显著异质性，且已有大量研究报道屠宰场环境中存在多重耐药大肠埃希菌（Escherichia coli）、沙门氏菌（Salmonella）、弯曲杆菌（Campylobacter）及其他人畜共患病原菌。值得关注的研究结果包括：屠宰场环境对常用抗菌素（如四环素、氨苄西林、磺胺类、氟喹诺酮类）普遍呈现高水平耐药性，同时已检出blaCTX-M、mcr、tet、sul等临床相关耐药基因变体。本数据集可用于二次分析、比较性风险评估、荟萃分析建模以及监测绘图，以更深入地解析人-动物-环境交汇界面的抗菌素耐药性传播动态。研究人员与政策制定者还可借助本数据集识别区域知识盲区，梳理肉类生产链中的优先干预靶点，并支持基于一体化健康（One Health）的抗菌素管理策略。