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The research foundation for COVID-19 vaccine development

The development of effective vaccines in <1 year to combat the spread of coronavirus disease 19 (COVID-19) is an example of particularly rapid progress in biomedicine. However, this was only made possible by decades of investment in scientific research. Many important research commentaries and re...

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Autores principales: Messan, Komi S., Sulima, Pawel P., Ghosh, Dolan, Nye, Jonathan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10080055/
https://www.ncbi.nlm.nih.gov/pubmed/37034419
http://dx.doi.org/10.3389/frma.2023.1078971
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author Messan, Komi S.
Sulima, Pawel P.
Ghosh, Dolan
Nye, Jonathan
author_facet Messan, Komi S.
Sulima, Pawel P.
Ghosh, Dolan
Nye, Jonathan
author_sort Messan, Komi S.
collection PubMed
description The development of effective vaccines in <1 year to combat the spread of coronavirus disease 19 (COVID-19) is an example of particularly rapid progress in biomedicine. However, this was only made possible by decades of investment in scientific research. Many important research commentaries and reviews have been provided to describe the various contributions and scientific breakthroughs that led to the development of COVID-19 vaccines. In this work, we sought to complement those efforts by adding a systematic and quantitative study of the research foundations that led to these vaccines. Here, we analyzed citations from COVID-19 vaccine research articles to determine which scientific areas of study contributed the most to this research. Our findings revealed that coronavirus research was cited most often, and by a large margin. However, significant contributions were also seen from a diverse set of fields such as cancer, diabetes, and HIV/AIDS. In addition, we examined the publication history of the most prolific authors of COVID-19 vaccine research to determine their research expertise prior to the pandemic. Interestingly, although COVID-19 vaccine research relied most heavily on previous coronavirus work, we find that the most prolific authors on these publications most often had expertise in other areas including influenza, cancer, and HIV/AIDS. Finally, we used machine learning to identify and group together publications based on their major topic areas. This allowed us to elucidate the differences in citations between research areas. These findings highlight and quantify the relevance of prior research from a variety of scientific fields to the rapid development of a COVID-19 vaccine. This study also illustrates the importance of funding and sustaining a diverse research enterprise to facilitate a rapid response to future pandemics.
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spelling pubmed-100800552023-04-08 The research foundation for COVID-19 vaccine development Messan, Komi S. Sulima, Pawel P. Ghosh, Dolan Nye, Jonathan Front Res Metr Anal Research Metrics and Analytics The development of effective vaccines in <1 year to combat the spread of coronavirus disease 19 (COVID-19) is an example of particularly rapid progress in biomedicine. However, this was only made possible by decades of investment in scientific research. Many important research commentaries and reviews have been provided to describe the various contributions and scientific breakthroughs that led to the development of COVID-19 vaccines. In this work, we sought to complement those efforts by adding a systematic and quantitative study of the research foundations that led to these vaccines. Here, we analyzed citations from COVID-19 vaccine research articles to determine which scientific areas of study contributed the most to this research. Our findings revealed that coronavirus research was cited most often, and by a large margin. However, significant contributions were also seen from a diverse set of fields such as cancer, diabetes, and HIV/AIDS. In addition, we examined the publication history of the most prolific authors of COVID-19 vaccine research to determine their research expertise prior to the pandemic. Interestingly, although COVID-19 vaccine research relied most heavily on previous coronavirus work, we find that the most prolific authors on these publications most often had expertise in other areas including influenza, cancer, and HIV/AIDS. Finally, we used machine learning to identify and group together publications based on their major topic areas. This allowed us to elucidate the differences in citations between research areas. These findings highlight and quantify the relevance of prior research from a variety of scientific fields to the rapid development of a COVID-19 vaccine. This study also illustrates the importance of funding and sustaining a diverse research enterprise to facilitate a rapid response to future pandemics. Frontiers Media S.A. 2023-03-24 /pmc/articles/PMC10080055/ /pubmed/37034419 http://dx.doi.org/10.3389/frma.2023.1078971 Text en Copyright © 2023 Messan, Sulima, Ghosh and Nye. 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 Research Metrics and Analytics
Messan, Komi S.
Sulima, Pawel P.
Ghosh, Dolan
Nye, Jonathan
The research foundation for COVID-19 vaccine development
title The research foundation for COVID-19 vaccine development
title_full The research foundation for COVID-19 vaccine development
title_fullStr The research foundation for COVID-19 vaccine development
title_full_unstemmed The research foundation for COVID-19 vaccine development
title_short The research foundation for COVID-19 vaccine development
title_sort research foundation for covid-19 vaccine development
topic Research Metrics and Analytics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10080055/
https://www.ncbi.nlm.nih.gov/pubmed/37034419
http://dx.doi.org/10.3389/frma.2023.1078971
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