Cargando…
Global trends in COVID-19 Alzheimer's related research: a bibliometric analysis
BACKGROUND: The COVID-19 pandemic has significantly impacted public health, putting people with Alzheimer's disease at significant risk. This study used bibliometric analysis method to conduct in-depth research on the relationship between COVID-19 and Alzheimer's disease, as well as to pre...
Autores principales: | , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10278887/ https://www.ncbi.nlm.nih.gov/pubmed/37342784 http://dx.doi.org/10.3389/fneur.2023.1193768 |
_version_ | 1785060560548659200 |
---|---|
author | Cao, Chenjun Li, Sixin Zhou, Gaoya Xu, Caijuan Chen, Xi Qiu, Huiwen Li, Xinyu Liu, Ying Cao, Hui Bi, Changlong |
author_facet | Cao, Chenjun Li, Sixin Zhou, Gaoya Xu, Caijuan Chen, Xi Qiu, Huiwen Li, Xinyu Liu, Ying Cao, Hui Bi, Changlong |
author_sort | Cao, Chenjun |
collection | PubMed |
description | BACKGROUND: The COVID-19 pandemic has significantly impacted public health, putting people with Alzheimer's disease at significant risk. This study used bibliometric analysis method to conduct in-depth research on the relationship between COVID-19 and Alzheimer's disease, as well as to predict its development trends. METHODS: The Web of Science Core Collection was searched for relevant literature on Alzheimer's and Coronavirus-19 during 2019–2023. We used a search query string in our advanced search. Using Microsoft Excel 2021 and VOSviewer software, a statistical analysis of primary high-yield authors, research institutions, countries, and journals was performed. Knowledge networks, collaboration maps, hotspots, and regional trends were analyzed using VOSviewer and CiteSpace. RESULTS: During 2020–2023, 866 academic studies were published in international journals. United States, Italy, and the United Kingdom rank top three in the survey; in terms of productivity, the top three schools were Harvard Medical School, the University of Padua, and the University of Oxford; Bonanni, Laura, from Gabriele d'Annunzio University (Italy), Tedeschi, Gioacchino from the University of Campania Luigi Vanvitelli (Italy), Vanacore, Nicola from Natl Ctr Dis Prevent and Health Promot (Italy), Reddy, P. Hemachandra from Texas Tech University (USA), and El Haj, Mohamad from University of Nantes (France) were the authors who published the most articles; The Journal of Alzheimer's Disease is the journals with the most published articles; “COVID-19,” “Alzheimer's disease,” “neurodegenerative diseases,” “cognitive impairment,” “neuroinflammation,” “quality of life,” and “neurological complications” have been the focus of attention in the last 3 years. CONCLUSION: The disease caused by the COVID-19 virus infection related to Alzheimer's disease has attracted significant attention worldwide. The major hot topics in 2020 were: “Alzheimer' disease,” COVID-19,” risk factors,” care,” and “Parkinson's disease.” During the 2 years 2021 and 2022, researchers were also interested in “neurodegenerative diseases,” “cognitive impairment,” and “quality of life,” which require further investigation. |
format | Online Article Text |
id | pubmed-10278887 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-102788872023-06-20 Global trends in COVID-19 Alzheimer's related research: a bibliometric analysis Cao, Chenjun Li, Sixin Zhou, Gaoya Xu, Caijuan Chen, Xi Qiu, Huiwen Li, Xinyu Liu, Ying Cao, Hui Bi, Changlong Front Neurol Neurology BACKGROUND: The COVID-19 pandemic has significantly impacted public health, putting people with Alzheimer's disease at significant risk. This study used bibliometric analysis method to conduct in-depth research on the relationship between COVID-19 and Alzheimer's disease, as well as to predict its development trends. METHODS: The Web of Science Core Collection was searched for relevant literature on Alzheimer's and Coronavirus-19 during 2019–2023. We used a search query string in our advanced search. Using Microsoft Excel 2021 and VOSviewer software, a statistical analysis of primary high-yield authors, research institutions, countries, and journals was performed. Knowledge networks, collaboration maps, hotspots, and regional trends were analyzed using VOSviewer and CiteSpace. RESULTS: During 2020–2023, 866 academic studies were published in international journals. United States, Italy, and the United Kingdom rank top three in the survey; in terms of productivity, the top three schools were Harvard Medical School, the University of Padua, and the University of Oxford; Bonanni, Laura, from Gabriele d'Annunzio University (Italy), Tedeschi, Gioacchino from the University of Campania Luigi Vanvitelli (Italy), Vanacore, Nicola from Natl Ctr Dis Prevent and Health Promot (Italy), Reddy, P. Hemachandra from Texas Tech University (USA), and El Haj, Mohamad from University of Nantes (France) were the authors who published the most articles; The Journal of Alzheimer's Disease is the journals with the most published articles; “COVID-19,” “Alzheimer's disease,” “neurodegenerative diseases,” “cognitive impairment,” “neuroinflammation,” “quality of life,” and “neurological complications” have been the focus of attention in the last 3 years. CONCLUSION: The disease caused by the COVID-19 virus infection related to Alzheimer's disease has attracted significant attention worldwide. The major hot topics in 2020 were: “Alzheimer' disease,” COVID-19,” risk factors,” care,” and “Parkinson's disease.” During the 2 years 2021 and 2022, researchers were also interested in “neurodegenerative diseases,” “cognitive impairment,” and “quality of life,” which require further investigation. Frontiers Media S.A. 2023-06-05 /pmc/articles/PMC10278887/ /pubmed/37342784 http://dx.doi.org/10.3389/fneur.2023.1193768 Text en Copyright © 2023 Cao, Li, Zhou, Xu, Chen, Qiu, Li, Liu, Cao and Bi. 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 | Neurology Cao, Chenjun Li, Sixin Zhou, Gaoya Xu, Caijuan Chen, Xi Qiu, Huiwen Li, Xinyu Liu, Ying Cao, Hui Bi, Changlong Global trends in COVID-19 Alzheimer's related research: a bibliometric analysis |
title | Global trends in COVID-19 Alzheimer's related research: a bibliometric analysis |
title_full | Global trends in COVID-19 Alzheimer's related research: a bibliometric analysis |
title_fullStr | Global trends in COVID-19 Alzheimer's related research: a bibliometric analysis |
title_full_unstemmed | Global trends in COVID-19 Alzheimer's related research: a bibliometric analysis |
title_short | Global trends in COVID-19 Alzheimer's related research: a bibliometric analysis |
title_sort | global trends in covid-19 alzheimer's related research: a bibliometric analysis |
topic | Neurology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10278887/ https://www.ncbi.nlm.nih.gov/pubmed/37342784 http://dx.doi.org/10.3389/fneur.2023.1193768 |
work_keys_str_mv | AT caochenjun globaltrendsincovid19alzheimersrelatedresearchabibliometricanalysis AT lisixin globaltrendsincovid19alzheimersrelatedresearchabibliometricanalysis AT zhougaoya globaltrendsincovid19alzheimersrelatedresearchabibliometricanalysis AT xucaijuan globaltrendsincovid19alzheimersrelatedresearchabibliometricanalysis AT chenxi globaltrendsincovid19alzheimersrelatedresearchabibliometricanalysis AT qiuhuiwen globaltrendsincovid19alzheimersrelatedresearchabibliometricanalysis AT lixinyu globaltrendsincovid19alzheimersrelatedresearchabibliometricanalysis AT liuying globaltrendsincovid19alzheimersrelatedresearchabibliometricanalysis AT caohui globaltrendsincovid19alzheimersrelatedresearchabibliometricanalysis AT bichanglong globaltrendsincovid19alzheimersrelatedresearchabibliometricanalysis |