Small mammals and associated infections in China: a systematic review and spatial modelling analysis

作者：Jinjin Chen, Chen‐Long Lv, Tao Wang, Yanhe Wang, Tian-Le Che, Qiang Xu, Xue-Geng Hong, Ai-Ying Teng, Shen Tian, Yuanyuan Zhang, Meichen Liu, Liping Wang, Simon I Hay, Yang Yang, Li‐Qun Fang, Wei Liu · 发表于：The Lancet Regional Health - Western Pacific · 年份：2024 · DOI：10.1016/j.lanwpc.2024.101264 · 被引用次数：6 · 研究领域：Zoonotic diseases and public health、Yersinia bacterium, plague, ectoparasites research、Rabies epidemiology and control

Background: As natural reservoirs of diverse pathogens, small mammals are considered a key interface for guarding public health due to their wide geographic distribution, high density and frequent interaction with humans. Methods: All formally recorded natural occurrences of small mammals (Order: Rodentia, Eulipotyphla, Lagomorpha, and Scandentia) and their associated microbial infections in China were searched in the English and Chinese literature spanning from 1950 to 2021 and geolocated. Machine learning models were applied to determine ecological drivers for the distributions of 45 major small mammal species and two common rodent-borne diseases (RBDs), and model-predicted potential risk locations were mapped. Findings: (33 species). The 45 major species of small mammals were grouped into six ecological clusters based on their ecological niche, mainly driven by annual mean temperature, temperature seasonality, total precipitation, and elevation. Model-predicted presence areas for the 45 major small mammal species and two RBDs were 1-499% larger in geographic size than observed. Interpretation: The extensive intersection between small mammals and microbes with pathogenic potential in humans poses imminent threats to public health. Active field surveillance should be prioritized for potential high-risk areas identified in this study to prevent zoonotic transmission of SMAMs. Funding: National Key Research and Development Program of China; Natural Science Foundation of China;...