Article(id=1282036075057103617, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1282036038860255373, articleNumber=null, orderNo=null, doi=10.16265/j.cnki.issn1003-3033.2025.11.1675, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1748275200000, receivedDateStr=2025-05-27, revisedDate=1754841600000, revisedDateStr=2025-08-11, acceptedDate=null, acceptedDateStr=null, onlineDate=1783590819371, onlineDateStr=2026-07-09, pubDate=1764259200000, pubDateStr=2025-11-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1783590819371, onlineIssueDateStr=2026-07-09, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1783590819371, creator=13701087609, updateTime=1783590819371, updator=13701087609, issue=Issue{id=1282036038860255373, tenantId=1146029695717560320, journalId=1146031787341344770, year='2025', volume='35', issue='11', pageStart='1', pageEnd='268', issueExtLink='null', onlineDate='null', pubDate='1764259200000', pubDateStr='2025-11-28', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1783590810742, creator='13701087609', updateTime=1783593801313, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1282048582291276616, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1282036038860255373, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1282048582295470921, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1282036038860255373, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=253, endPage=262, ext={EN=ArticleExt(id=1282036075279401730, articleId=1282036075057103617, tenantId=1146029695717560320, journalId=1146031787341344770, language=EN, title=Research progress on emergency-synergy in public health emergencies over past decade, columnId=1149735805633081985, journalTitle=China Safety Science Journal, columnName=Occupational health, runingTitle=null, highlight=null, articleAbstract=

In order to capture the evolving landscape of research on emergency-synergy in public health emergencies and systematically synthesize key studies and their characteristics in this domain, this study employed the scientific knowledge mapping tool CiteSpace to conduct a visual analysis of relevant literature from the past decade. Data were retrieved from core collections of China National Knowledge Infrastructure (CNKI) and Web of Science (WOS). Concurrently, existing research findings were systematically examined across five dimensions: synergistic models, mechanisms, subjects, decision-making processes, and model construction. The results indicate that research output on emergency-synergy in public health emergencies grew steadily alongside the progression of Corona Virus Disease 2019(COVID-19) pandemic, with a subsequent decline as the pandemic subsided. Overall publication volume in this field remains modest: the retrieval yielded 121 academic papers, 306 master's and doctoral theses, and 54 foreign-language documents. Research focus is predominantly concentrated in areas such as emergency management, collaboration mechanisms, and multi-stakeholder synergy. The analysis further reveals that evolutionary game theory and dynamic disease transmission theory have gained significant traction among researchers in modeling emergency-synergy. The synergistic mechanism featuring "government leadership, multi-party participation, and clear division of responsibilities" has garnered widespread recognition within the academic community. Nevertheless, challenges persist regarding the practical implementation of multi-subject emergency synergy under government leadership, warranting further in-depth investigation. It is projected that future research will advance toward theoretical refinement of emergency-synergy governance models and the diversification of synergistic subjects.

, authors=Yi YANG^{1, 2}, Ran ZHENG¹, Yue LIU², Yongjun LUO¹, Nan LYU², Xuan YU^{**, 1}, authorsList=Yi YANG, Ran ZHENG, Yue LIU, Yongjun LUO, Nan LYU, Xuan YU, authorCompany=null, correspAuthors=Xuan YU, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1282036075803689733, articleId=1282036075057103617, tenantId=1146029695717560320, journalId=1146031787341344770, language=CN, title=近10年突发公共卫生事件应急协同研究进展, columnId=1149735805817631364, journalTitle=中国安全科学学报, columnName=职业卫生, runingTitle=null, highlight=null, articleAbstract=

为掌握突发公共卫生事件应急协同研究的发展趋势，系统梳理该领域的主要研究及其特征，利用科学知识图谱工具CiteSpace软件，以中国知网（CNKI）、科学网（WOS）核心合集为数据检索源，对近10年突发公共卫生事件应急协同研究文献进行可视化分析；同时，从协同模式、协同机制、协同主体、协同决策和协同模型5个方面系统分析现有研究成果。结果表明：突发公共卫生事件应急协同的成果随着新冠（COVID-19）疫情的发展逐年增多，随着新冠疫情的结束，研究成果数量减少。该领域总体发文量不大，共检索相关文献121篇，硕博士论文306篇，外文文献54篇。研究成果多体现在应急管理、协同机制、多主体协同等领域。分析发现演化博弈理论和疾病动态传播理论在应急协同模型研究中受到研究者的青睐，政府主导、多方参与、分工负责的协同机制得到研究者的认同，但如何实施政府主导下的多主体应急协同仍有不少问题有待进一步分析研究。预测未来研究将从协同治理模式的理论建构、协同主体多元化等方向展开。

, authors=杨毅讲师^{1, 2}, 郑然教授¹, 刘月讲师², 罗勇军教授¹, 吕楠副教授², 余漩教授^{**, 1}, authorsList=杨毅讲师, 郑然教授, 刘月讲师, 罗勇军教授, 吕楠副教授, 余漩教授, authorCompany=null, correspAuthors=余漩教授, authorNote=, correspAuthorsNote=, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=9/hUNkeK6Mbsr2I+P0JNdw==, magXml=KvdduaxsYPRwX9wZ/HsOSQ==, pdfUrl=null, pdf=JwxOXDvZwoVfqQCByW8TfQ==, pdfFileSize=5969650, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=rGFQejf9m0gOe6YWV2jBPg==, mapNumber=null, fund=null)}, authors=[Author(id=1282036076281840397, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1282036075057103617, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=yangyi0805@163.com, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1282036076378309392, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1282036075057103617, authorId=1282036076281840397, language=EN, stringName=Yi YANG, firstName=Yi, middleName=null, lastName=YANG, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=^{1, 2}, address=¹Army Health Service Training Base, Army Medical University, Chongqing 400038, China
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²联勤保障部队工程大学，重庆 401311, bio={"content":"

杨毅（1987—），男，重庆人，博士研究生，讲师，主要研究方向为卫勤保障、应急管理。E-mail:yangyi0805@163.com。

"}, bioImg=null, bioContent=

杨毅（1987—），男，重庆人，博士研究生，讲师，主要研究方向为卫勤保障、应急管理。E-mail:yangyi0805@163.com。

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