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COVID-19 as a Research Dynamic Transformer: Emerging Cross-Disciplinary and National Characteristics

The outbreak of the COVID-19 pandemic has had an unprecedented impact on humanity as well as research activities in life sciences and medicine. Between January and August 2020, the number of coronavirus-related scientific articles was roughly 50 times more than that of articles published in the enti...

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Autores principales: Ohniwa, Ryosuke L., Kijima, Joji, Fukushige, Mizuho, Ohneda, Osamu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8350321/
https://www.ncbi.nlm.nih.gov/pubmed/34381994
http://dx.doi.org/10.3389/fdata.2021.631073
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author Ohniwa, Ryosuke L.
Kijima, Joji
Fukushige, Mizuho
Ohneda, Osamu
author_facet Ohniwa, Ryosuke L.
Kijima, Joji
Fukushige, Mizuho
Ohneda, Osamu
author_sort Ohniwa, Ryosuke L.
collection PubMed
description The outbreak of the COVID-19 pandemic has had an unprecedented impact on humanity as well as research activities in life sciences and medicine. Between January and August 2020, the number of coronavirus-related scientific articles was roughly 50 times more than that of articles published in the entire year of 2019 in PubMed. It is necessary to better understand the dynamics of research on COVID-19, an emerging topic, and suggest ways to understand and improve the quality of research. We analyze the dynamics of coronavirus research before and after the outbreaks of SARS, MERS, and COVID-19 by examining all the published articles from the past 25 years in PubMed. We delineate research networks on coronaviruses as we identify experts’ background in terms of topics of previous research, affiliations, and international co-authorships. Two distinct dynamics of coronavirus research were found: 1) in the cases of regional pandemics, SARS and MERS, the scope of cross-disciplinary research remained between neighboring research areas; 2) in the case of the global pandemic, COVID-19, research activities have spread beyond neighboring disciplines with little transnational collaboration. Thus, COVID-19 has transformed the structure of research on coronaviruses as an emerging issue. Knowledge on COVID-19 is distributed across the widest range of disciplines, transforming research networks well beyond the field of medicine but within national boundaries. Given the unprecedented scale of COVID-19 and the nationalization of responses, the most likely way forward is to accumulate local knowledge with the awareness of transdisciplinary research dynamics.
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spelling pubmed-83503212021-08-10 COVID-19 as a Research Dynamic Transformer: Emerging Cross-Disciplinary and National Characteristics Ohniwa, Ryosuke L. Kijima, Joji Fukushige, Mizuho Ohneda, Osamu Front Big Data Big Data The outbreak of the COVID-19 pandemic has had an unprecedented impact on humanity as well as research activities in life sciences and medicine. Between January and August 2020, the number of coronavirus-related scientific articles was roughly 50 times more than that of articles published in the entire year of 2019 in PubMed. It is necessary to better understand the dynamics of research on COVID-19, an emerging topic, and suggest ways to understand and improve the quality of research. We analyze the dynamics of coronavirus research before and after the outbreaks of SARS, MERS, and COVID-19 by examining all the published articles from the past 25 years in PubMed. We delineate research networks on coronaviruses as we identify experts’ background in terms of topics of previous research, affiliations, and international co-authorships. Two distinct dynamics of coronavirus research were found: 1) in the cases of regional pandemics, SARS and MERS, the scope of cross-disciplinary research remained between neighboring research areas; 2) in the case of the global pandemic, COVID-19, research activities have spread beyond neighboring disciplines with little transnational collaboration. Thus, COVID-19 has transformed the structure of research on coronaviruses as an emerging issue. Knowledge on COVID-19 is distributed across the widest range of disciplines, transforming research networks well beyond the field of medicine but within national boundaries. Given the unprecedented scale of COVID-19 and the nationalization of responses, the most likely way forward is to accumulate local knowledge with the awareness of transdisciplinary research dynamics. Frontiers Media S.A. 2021-07-26 /pmc/articles/PMC8350321/ /pubmed/34381994 http://dx.doi.org/10.3389/fdata.2021.631073 Text en Copyright © 2021 Ohniwa, Kijima, Fukushige and Ohneda. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Big Data
Ohniwa, Ryosuke L.
Kijima, Joji
Fukushige, Mizuho
Ohneda, Osamu
COVID-19 as a Research Dynamic Transformer: Emerging Cross-Disciplinary and National Characteristics
title COVID-19 as a Research Dynamic Transformer: Emerging Cross-Disciplinary and National Characteristics
title_full COVID-19 as a Research Dynamic Transformer: Emerging Cross-Disciplinary and National Characteristics
title_fullStr COVID-19 as a Research Dynamic Transformer: Emerging Cross-Disciplinary and National Characteristics
title_full_unstemmed COVID-19 as a Research Dynamic Transformer: Emerging Cross-Disciplinary and National Characteristics
title_short COVID-19 as a Research Dynamic Transformer: Emerging Cross-Disciplinary and National Characteristics
title_sort covid-19 as a research dynamic transformer: emerging cross-disciplinary and national characteristics
topic Big Data
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8350321/
https://www.ncbi.nlm.nih.gov/pubmed/34381994
http://dx.doi.org/10.3389/fdata.2021.631073
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