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冠状病毒爆发对科学与社会的影响:来自非典和新冠疫情的时间文献计量学见解

Impact of Coronavirus Outbreaks on Science and Society: Insights from Temporal Bibliometry of SARS and COVID-19.

作者信息

Gupta Ramya, Prasad Abhishek, Babu Suresh, Yadav Gitanjali

机构信息

National Institute of Plant Genome Research, New Delhi 110067, India.

School of Human Ecology, Ambedkar University Delhi, Delhi 110007, India.

出版信息

Entropy (Basel). 2021 May 18;23(5):626. doi: 10.3390/e23050626.

Abstract

A global event such as the COVID-19 crisis presents new, often unexpected responses that are fascinating to investigate from both scientific and social standpoints. Despite several documented similarities, the coronavirus pandemic is clearly distinct from the 1918 flu pandemic in terms of our exponentially increased, almost instantaneous ability to access/share information, offering an unprecedented opportunity to visualise rippling effects of global events across space and time. Personal devices provide "big data" on people's movement, the environment and economic trends, while access to the unprecedented flurry in scientific publications and media posts provides a measure of the response of the educated world to the crisis. Most bibliometric (co-authorship, co-citation, or bibliographic coupling) analyses ignore the time dimension, but COVID-19 has made it possible to perform a detailed temporal investigation into the pandemic. Here, we report a comprehensive network analysis based on more than 20,000 published documents on viral epidemics, authored by over 75,000 individuals from 140 nations in the past one year of the crisis. Unlike the 1918 flu pandemic, access to published data over the past two decades enabled a comparison of publishing trends between the ongoing COVID-19 pandemic and those of the 2003 SARS epidemic to study changes in thematic foci and societal pressures dictating research over the course of a crisis.

摘要

像新冠疫情这样的全球事件呈现出一些新的、往往出乎意料的反应,从科学和社会角度进行研究都饶有趣味。尽管有一些已记录的相似之处,但就我们呈指数级增长、几乎即时的信息获取/共享能力而言,新冠病毒大流行显然有别于1918年的流感大流行,这为可视化全球事件在时空上的连锁反应提供了前所未有的机会。个人设备提供了关于人们的行动、环境和经济趋势的“大数据”,而获取科学出版物和媒体帖子中前所未有的大量信息则提供了一种衡量受过教育的世界对危机反应的方式。大多数文献计量分析(共同作者、共被引或文献耦合)忽略了时间维度,但新冠疫情使对该大流行进行详细的时间调查成为可能。在此,我们报告了一项基于20000多篇已发表的关于病毒流行的文献的全面网络分析,这些文献由来自140个国家的75000多人在危机的过去一年中撰写。与1918年流感大流行不同,过去二十年已发表数据的可获取性使得能够比较当前新冠疫情期间与2003年非典疫情期间的出版趋势,以研究在危机过程中决定研究方向的主题重点和社会压力的变化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/73a9/8157376/96cf0b2eb57b/entropy-23-00626-g001.jpg

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