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使用社会网络分析方法分析已发表的全球埃博拉病毒病研究。

Analysing published global Ebola Virus Disease research using social network analysis.

作者信息

Hagel Christiane, Weidemann Felix, Gauch Stephan, Edwards Suzanne, Tinnemann Peter

机构信息

Institute for Social Medicine, Epidemiology and Health Economics, Charité-Universitätsmedizin Berlin, Berlin, Germany.

Department for Infectious Diseases Epidemiology, Robert Koch-Institut, Berlin, Germany.

出版信息

PLoS Negl Trop Dis. 2017 Oct 9;11(10):e0005747. doi: 10.1371/journal.pntd.0005747. eCollection 2017 Oct.


DOI:10.1371/journal.pntd.0005747
PMID:28991915
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5667877/
Abstract

INTRODUCTION: The 2014/2015 West African Ebola Virus Disease (EVD) outbreak attracted global attention. Numerous opinions claimed that the global response was impaired, in part because, the EVD research was neglected, although quantitative or qualitative studies did not exist. Our objective was to analyse how the EVD research landscape evolved by exploring the existing research network and its communities before and during the outbreak in West Africa. METHODS/ PRINCIPAL FINDINGS: Social network analysis (SNA) was used to analyse collaborations between institutions named by co-authors as affiliations in publications on EVD. Bibliometric data of publications on EVD between 1976 and 2015 was collected from Thomson Reuters' Web of Science Core Collection (WoS). Freely available software was used for network analysis at a global-level and for 10-year periods. The networks are presented as undirected-weighted graphs. Rankings by degree and betweenness were calculated to identify central and powerful network positions; modularity function was used to identify research communities. Overall 4,587 publications were identified, of which 2,528 were original research articles. Those yielded 1,644 authors' affiliated institutions and 9,907 connections for co-authorship network construction. The majority of institutions were from the USA, Canada and Europe. Collaborations with research partners on the African continent did exist, but less frequently. Around six highly connected organisations in the network were identified with powerful and broker positions. Network characteristics varied widely among the 10-year periods and evolved from 30 to 1,489 institutions and 60 to 9,176 connections respectively. Most influential actors are from public or governmental institutions whereas private sector actors, in particular the pharmaceutical industry, are largely absent. CONCLUSION/ SIGNIFICANCE: Research output on EVD has increased over time and surged during the 2014/2015 outbreak. The overall EVD research network is organised around a few key actors, signalling a concentration of expertise but leaving room for increased cooperation with other institutions especially from affected countries. Finding innovative ways to maintain support for these pivotal actors while steering the global EVD research network towards an agenda driven by agreed, prioritized needs and finding ways to better integrate currently peripheral and newer expertise may accelerate the translation of research into the development of necessary live saving products for EVD ahead of the next outbreak.

摘要

引言:2014/2015年西非埃博拉病毒病(EVD)疫情引起了全球关注。众多观点认为全球应对措施受到了影响,部分原因是埃博拉病毒病研究被忽视,尽管当时尚无定量或定性研究。我们的目标是通过探索西非疫情爆发前及爆发期间现有的研究网络及其群体,来分析埃博拉病毒病研究格局是如何演变的。 方法/主要发现:社会网络分析(SNA)用于分析共同作者在埃博拉病毒病出版物中列为所属机构之间的合作情况。1976年至2015年期间埃博拉病毒病出版物的文献计量数据从汤森路透的科学引文索引核心合集(WoS)中收集。使用免费软件在全球层面以及按10年时间段进行网络分析。网络以无向加权图呈现。计算度排名和中间中心性排名以确定核心且有影响力的网络位置;模块化函数用于识别研究群体。总共识别出4587篇出版物,其中2528篇为原创研究文章。这些文章产生了1644个作者所属机构以及9907个用于共同作者网络构建的联系。大多数机构来自美国、加拿大和欧洲。与非洲大陆研究伙伴的合作确实存在,但频率较低。在网络中识别出大约六个高度连接的组织,它们处于有影响力和中介的位置。网络特征在不同的10年时间段差异很大,机构数量分别从30个发展到1489个,联系数量从60个发展到9176个。最具影响力的行为者来自公共或政府机构,而私营部门行为者,特别是制药行业,在很大程度上缺席。 结论/意义:随着时间推移,埃博拉病毒病的研究产出有所增加,并在2014/2015年疫情期间激增。总体埃博拉病毒病研究网络围绕少数关键行为者组织,这表明专业知识集中,但仍有空间加强与其他机构特别是受影响国家机构的合作。找到创新方法在维持对这些关键行为者支持的同时,引导全球埃博拉病毒病研究网络朝着由商定的优先需求驱动的议程发展,并找到更好整合当前处于边缘地位的新专业知识的方法,可能会加速研究成果转化为埃博拉病毒病所需救命产品的开发,以应对下一次疫情爆发。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/09c7/5667877/f0b9f8fa033a/pntd.0005747.g012.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/09c7/5667877/0426bbbd3265/pntd.0005747.g008.jpg
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