Shen Bingjie, Guan Tianjia, Ma Jing, Yang Linghe, Liu Yuanli
School of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, 46 Xizongbu Hutong, Beijing, 100005, China.
Active Health and Translational Medicine Center, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, 32 Yihuan Road, Qingyang District, Chengdu, Sichuan Province, 610072, China.
Public Health Pract (Oxf). 2021 Jun 24;2:100155. doi: 10.1016/j.puhip.2021.100155. eCollection 2021 Nov.
To understand the research landscape and identify the research hotspots and trends of the application of social network theory and analysis to public health.
A bibliometric study of publications regarding application of social network theory and analysis to public health.
Choosing 1607 articles about the application of social network theory and analysis to public health from the core collection database of Web of Science published from 1991 to 2020 as the research sample. A bibliometric and visual analysis of publication quantity and content was performed to analyze time trends, spatial distribution, cooperation networks, influential references, and keyword co-occurrence, clusters, and emergence.
There is an increasing trend in the use of social network theory and analysis in the public health field, with the United States taking the lead. Research focuses include on transmission of diseases or behavior through social networks and the influence of social networks on population health at different ages. Current research frontiers primarily include the role of social networks in tracking of emerging infectious diseases like COVID-19, preventing and controlling chronic diseases, and carrying out healthy behavioral interventions.
This study provides a comprehensive quantitative overview of the historic development of and latest topics in the application of social network theory and analysis method to public health. More attention should be paid to the important role of social networks in tracing the emergence of serious infectious diseases like COVID-19, as well as preventing and controlling chronic diseases and intervening in health behaviors, considering the increasing challenges and opportunities presented by online social networking.
了解社会网络理论与分析在公共卫生领域应用的研究概况,识别研究热点和趋势。
对社会网络理论与分析在公共卫生领域应用的出版物进行文献计量研究。
从1991年至2020年发表在Web of Science核心合集数据库中选取1607篇关于社会网络理论与分析在公共卫生领域应用的文章作为研究样本。对出版物数量和内容进行文献计量和可视化分析,以分析时间趋势、空间分布、合作网络、有影响力的参考文献以及关键词共现、聚类和涌现情况。
社会网络理论与分析在公共卫生领域的应用呈上升趋势,美国处于领先地位。研究重点包括疾病或行为通过社会网络的传播以及社会网络对不同年龄段人群健康的影响。当前研究前沿主要包括社会网络在追踪如COVID-19等新兴传染病、预防和控制慢性病以及开展健康行为干预方面的作用。
本研究全面定量概述了社会网络理论与分析方法在公共卫生领域应用的历史发展和最新主题。鉴于在线社交网络带来的挑战和机遇不断增加,应更加关注社会网络在追踪如COVID-19等严重传染病的出现、预防和控制慢性病以及干预健康行为方面的重要作用。