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Scientometric Analysis of Public Health Emergencies: 1994–2020

The purpose of this paper is to summarize the research hotspots and frontiers in the field of public health emergencies (PHE) between 1994–2020 through the scientometric analysis method. In total, 2247 literature works retrieved from the Web of Science core database were analyzed by CiteSpace softwa...

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Autores principales: Liu, Jing, Wang, Yujie, Zhang, Qian, Wei, Jianxiang, Zhou, Haihua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8775579/
https://www.ncbi.nlm.nih.gov/pubmed/35055460
http://dx.doi.org/10.3390/ijerph19020640
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author Liu, Jing
Wang, Yujie
Zhang, Qian
Wei, Jianxiang
Zhou, Haihua
author_facet Liu, Jing
Wang, Yujie
Zhang, Qian
Wei, Jianxiang
Zhou, Haihua
author_sort Liu, Jing
collection PubMed
description The purpose of this paper is to summarize the research hotspots and frontiers in the field of public health emergencies (PHE) between 1994–2020 through the scientometric analysis method. In total, 2247 literature works retrieved from the Web of Science core database were analyzed by CiteSpace software, and the results were displayed in knowledge mapping. The overall characteristics analysis showed that the number of publications and authors in the field of PHE kept an upward trend during the past decades, and the United States was in the leading position, followed by China and England. Switzerland has the highest central value and plays an important intermediary role in promoting the integration and exchange of international PHE research achievements. The keyword co-occurrence analysis indicated that COVID-19 was the most high-frequency keyword in this field, and there had been no new keywords for a long time until the outbreak of COVID-19 in 2019. The burst detection analysis showed that the top five burst keywords in terms of burst intensity were zika virus, Ebola, United States, emergency preparedness and microcephaly. The results indicated that the research theme of PHE is closely related to the major infectious diseases in a specific period. It will continue to develop with more attention paid to public health. The conclusions can provide help and reference for the PHE potential researchers.
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spelling pubmed-87755792022-01-21 Scientometric Analysis of Public Health Emergencies: 1994–2020 Liu, Jing Wang, Yujie Zhang, Qian Wei, Jianxiang Zhou, Haihua Int J Environ Res Public Health Article The purpose of this paper is to summarize the research hotspots and frontiers in the field of public health emergencies (PHE) between 1994–2020 through the scientometric analysis method. In total, 2247 literature works retrieved from the Web of Science core database were analyzed by CiteSpace software, and the results were displayed in knowledge mapping. The overall characteristics analysis showed that the number of publications and authors in the field of PHE kept an upward trend during the past decades, and the United States was in the leading position, followed by China and England. Switzerland has the highest central value and plays an important intermediary role in promoting the integration and exchange of international PHE research achievements. The keyword co-occurrence analysis indicated that COVID-19 was the most high-frequency keyword in this field, and there had been no new keywords for a long time until the outbreak of COVID-19 in 2019. The burst detection analysis showed that the top five burst keywords in terms of burst intensity were zika virus, Ebola, United States, emergency preparedness and microcephaly. The results indicated that the research theme of PHE is closely related to the major infectious diseases in a specific period. It will continue to develop with more attention paid to public health. The conclusions can provide help and reference for the PHE potential researchers. MDPI 2022-01-06 /pmc/articles/PMC8775579/ /pubmed/35055460 http://dx.doi.org/10.3390/ijerph19020640 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Liu, Jing
Wang, Yujie
Zhang, Qian
Wei, Jianxiang
Zhou, Haihua
Scientometric Analysis of Public Health Emergencies: 1994–2020
title Scientometric Analysis of Public Health Emergencies: 1994–2020
title_full Scientometric Analysis of Public Health Emergencies: 1994–2020
title_fullStr Scientometric Analysis of Public Health Emergencies: 1994–2020
title_full_unstemmed Scientometric Analysis of Public Health Emergencies: 1994–2020
title_short Scientometric Analysis of Public Health Emergencies: 1994–2020
title_sort scientometric analysis of public health emergencies: 1994–2020
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8775579/
https://www.ncbi.nlm.nih.gov/pubmed/35055460
http://dx.doi.org/10.3390/ijerph19020640
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