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Trends in Research about COVID-19 Vaccine Documented through Bibliometric and Visualization Analysis.

作者信息

Wei Wei-Ting, Wei Ching-Kuo, Wu Chin-Chu

机构信息

School of Health Care Administration, Taipei Medical University, Taipei 110, Taiwan.

MA Curating Cultures, SOAS University of London, London WC1H 0XG, UK.

出版信息

Healthcare (Basel). 2022 Oct 4;10(10):1942. doi: 10.3390/healthcare10101942.


DOI:10.3390/healthcare10101942
PMID:36292389
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9602157/
Abstract

Due to COVID-19, people's lives have changed greatly. In accordance with former experience, an efficacious vaccine is the most effective way to curb the pandemic; thus, many researchers have published related publications in the short term. Hence, this study aims at using bibliometric analysis and visualization to document research trends regarding COVID-19 vaccines, and offer some directions and suggestions for future research. Initially, all eligible publications were downloaded from Web of Science on 1 January 2022. Subsequently, some publications published before December 2019 were removed since COVID-19 did not occur before that date. Finally, Microsoft Excel is used for bibliometric analysis to analyze publication date, author, affiliation, country, publication title, publisher, research area, document type, and language, and visualized software (VOSviewer) is used to visualize author, affiliation, country, and keywords. After analyzing a total of 17,392 publications, the results show that the overall research trend was upward. Moreover, the prominent authors, institutions, and countries inclined towards regional cooperation instead of international cooperation. Furthermore, the most popular research areas were immunology and medicine (general and internal). Ultimately, COVID-19, vaccine, and SARS-CoV-2 were the top 3 keywords. In conclusion, this study shows the approximate research trend for COVID-19 vaccine during the completely first two years of the pandemic. The research focuses moved from safety, effectiveness, and immunology at the early stage to the optimal allocation strategies for COVID-19 vaccine, and eventually to public attitudes and acceptance towards COVID-19 vaccination.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5311/9602157/e4278822b0ff/healthcare-10-01942-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5311/9602157/80f6dd3665b1/healthcare-10-01942-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5311/9602157/82047b79d51b/healthcare-10-01942-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5311/9602157/a28ebd98a62a/healthcare-10-01942-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5311/9602157/14ca0b259007/healthcare-10-01942-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5311/9602157/365057a26623/healthcare-10-01942-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5311/9602157/8ac2d04448ea/healthcare-10-01942-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5311/9602157/e3d9b1a698bb/healthcare-10-01942-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5311/9602157/85da5286282a/healthcare-10-01942-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5311/9602157/e4278822b0ff/healthcare-10-01942-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5311/9602157/80f6dd3665b1/healthcare-10-01942-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5311/9602157/82047b79d51b/healthcare-10-01942-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5311/9602157/a28ebd98a62a/healthcare-10-01942-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5311/9602157/14ca0b259007/healthcare-10-01942-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5311/9602157/365057a26623/healthcare-10-01942-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5311/9602157/8ac2d04448ea/healthcare-10-01942-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5311/9602157/e3d9b1a698bb/healthcare-10-01942-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5311/9602157/85da5286282a/healthcare-10-01942-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5311/9602157/e4278822b0ff/healthcare-10-01942-g009.jpg

相似文献

[1]
Trends in Research about COVID-19 Vaccine Documented through Bibliometric and Visualization Analysis.

Healthcare (Basel). 2022-10-4

[2]
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[3]
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[4]
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[5]
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[6]
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[7]
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Interact J Med Res. 2022-7-19

[8]
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[9]
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[10]
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引用本文的文献

[1]
Top 100 cited research on COVID-19 vaccines: A bibliometric analysis and evidence mapping.

Hum Vaccin Immunother. 2024-12-31

[2]
Development trends and knowledge framework in the application of magnetic resonance imaging in prostate cancer: a bibliometric analysis from 1984 to 2022.

Quant Imaging Med Surg. 2023-10-1

[3]
Current hotspot and study trend of innate immunity in COVID-19: a bibliometric analysis from 2020 to 2022.

Front Immunol. 2023

本文引用的文献

[1]
Current and Future Perspectives on the COVID-19 Vaccine: A Scientometric Review.

J Clin Med. 2022-1-29

[2]
Update on the COVID-19 Vaccine Research Trends: A Bibliometric Analysis.

Infect Drug Resist. 2021-10-14

[3]
To mix or not to mix? A rapid systematic review of heterologous prime-boost covid-19 vaccination.

Expert Rev Vaccines. 2021-10

[4]
COVID-19 vaccine research focusses on safety, efficacy, immunoinformatics, and vaccine production and delivery: a bibliometric analysis based on VOSviewer.

Biosci Trends. 2021-5-11

[5]
Research trends in COVID-19 vaccine: a bibliometric analysis.

Hum Vaccin Immunother. 2021-8-3

[6]
Analysis of scientific production on the new coronavirus (COVID-19): a bibliometric analysis.

Sao Paulo Med J. 2021

[7]
A Bibliometric Network Analysis of Coronavirus during the First Eight Months of COVID-19 in 2020.

Int J Environ Res Public Health. 2021-1-22

[8]
Bibliometric and Visualization Analysis of Human Coronaviruses: Prospects and Implications for COVID-19 Research.

Front Cell Infect Microbiol. 2020-9-23

[9]
What can we learn from the JATM literature for the future of aviation post Covid-19? - A bibliometric and visualization analysis.

J Air Transp Manag. 2020-10

[10]
Immunological considerations for COVID-19 vaccine strategies.

Nat Rev Immunol. 2020-9-4

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