Zou Dongdong, Kou Ruxin, Wu Yuanyang, Hu Jinwen, Xu Qianqian, Wang Haixia, Zhang Xinping
Medical and Health Management, Hua Zhong University of Science and Technology, Wuhan, China.
Sci Rep. 2025 Jul 15;15(1):25457. doi: 10.1038/s41598-025-09712-6.
Carbapenem-Resistant Organisms (CROs) pose a serious threat to human health, which is a significant concern and urgently requires further research. However, the spatial effects of CROs are under explored. Data were obtained from the China Antimicrobial Resistance Surveillance System, covering the prevalence of carbapenem-resistant Klebsiella pneumoniae (CRKP), Pseudomonas aeruginosa (CRPA), and Acinetobacter baumannii (CRAB) in 30 provinces from 2014 to 2023.Spatial Durbin Model (SDM) and effect decomposition were used to determine the spatial effects of CROs and their influencing factors including urbanization rate (UR), the number of health institutions (HOS), annual GDP per capita (PGDP), annual pesticide usage (PUSE) and PM. Spillover of spatial effects were observed among CROs significantly. CRKP and CRPA demonstrated spatial clustering; CRPA and CRAB exhibited negative spatial effect spillovers. It implies that regions with high levels of CROs and the dynamic changes between regions should be given more attention first. This study has further identified significant associations between the spatial effects of CROs and various factors, including the aggregation and mobility of population, socioeconomic factors, as well as soil and air pollution. It is crucial to recognize the roles of these factors in the spatial spread of CROs, as it provides a new perspective for the prevention and control of CROs.
耐碳青霉烯类生物体（CROs）对人类健康构成严重威胁，这是一个重大问题，迫切需要进一步研究。然而，CROs的空间效应尚未得到充分探索。数据来自中国抗菌药物耐药性监测系统，涵盖了2014年至2023年30个省份耐碳青霉烯类肺炎克雷伯菌（CRKP）、铜绿假单胞菌（CRPA）和鲍曼不动杆菌（CRAB）的流行情况。采用空间杜宾模型（SDM）和效应分解来确定CROs的空间效应及其影响因素，包括城市化率（UR）、卫生机构数量（HOS）、人均年度国内生产总值（PGDP）、年度农药使用量（PUSE）和颗粒物（PM）。CROs之间存在显著的空间效应溢出。CRKP和CRPA表现出空间聚集；CRPA和CRAB表现出负向空间效应溢出。这意味着首先应更多关注CROs水平高的地区以及地区之间的动态变化。本研究进一步确定了CROs的空间效应与各种因素之间的显著关联，包括人口的聚集和流动、社会经济因素以及土壤和空气污染。认识到这些因素在CROs空间传播中的作用至关重要，因为这为CROs的预防和控制提供了新的视角。
