Visual analysis of thecurrent statusof infectious disease surveillance and early warning in China based on CiteSpace

SHI Yao; WANG Yu; PENG Lin; NI Yiqian; ZHOU Yun; LI Beicheng; ZHANG Dandan

doi:10.3969/j.issn.1007-8134.2025.03.013

Abstract：Objective To elucidate the research dynamics and knowledge structure in the field of infectious disease surveillance and early warning in China,this study aims to reveal the current status,evolution of research hotspots,and frontier trends in this domain,thereby providing a scientific basis for optimizing the infectious disease surveillance and early warning system.Methods The China National Knowledge Infrastructure(CNKI)and the Web of Science(WOS)Core Collection databases were selected as the data sources,and relevant Chinese and English literature on infectious disease surveillance and early warning from the establishment of these databases to 2024 were retrieved.After a rigorous screening process,a total of 6 065 articles were ultimately included.CiteSpace software was employed to construct co-authorship networks,keyword co-occurrence,and clustering maps.In addition,burst detection techniques were applied to systematically analyze the evolution and spatial-temporal distribution patterns of research hotspots.Results The research on infectious disease surveillance and early warning in China has evolved throughthree stages:inception,initiation,and rapid development.A core group of authors has initially formed,with scholars such as Ma Jiaqi and Wang Liping making significant contributions in the areas of surveillance system standardization and epidemiological evaluation.Keyword analysis revealed that"infectious diseases""early warning systems"and"public health emergencies"are the core research themes.Burst terms indicated that"big data"and"artificial intelligence"have emerged as frontier hotspots.Conclusions This study clearly illustrates the remarkable development of the infectious disease surveillance and early warning system in China,which has been propelled by policy support,technological innovation,and the impetus of epidemic events.The formation of core authorship network and the integration of interdisciplinary knowledge have further facilitatedthe in-depth exploration of this field.In the future,efforts should be concentrated on strengthening data standardization,promoting the integration of multi-source information,optimizing artificial intelligence-based predictive models,and expanding international cooperation,all of which are crucial for enhancing global public health governance capacity.