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Current global research landscape on COVID-19 and depressive disorders: Bibliometric and visualization analysis
BACKGROUND: Coronavirus disease 2019 (COVID-19) has affected daily life globally dramatically over the last year. The impact of the COVID-19 epidemic on mental health is expected to be immense and likely to be long-lasting, raising a range of global problems that need to be addressed accordingly. AI...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Baishideng Publishing Group Inc
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8209539/ https://www.ncbi.nlm.nih.gov/pubmed/34168972 http://dx.doi.org/10.5498/wjp.v11.i6.253 |
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author | Al-Jabi, Samah W |
author_facet | Al-Jabi, Samah W |
author_sort | Al-Jabi, Samah W |
collection | PubMed |
description | BACKGROUND: Coronavirus disease 2019 (COVID-19) has affected daily life globally dramatically over the last year. The impact of the COVID-19 epidemic on mental health is expected to be immense and likely to be long-lasting, raising a range of global problems that need to be addressed accordingly. AIM: To analyze the Scopus-based depression research and COVID-19, explain the advancement of research nowadays, and comment on the possible hotspots of depression research and COVID-19 to obtain a more global perspective. METHODS: In this report, bibliometric analysis and visualization are used to explain COVID-19's global research status on depression and provide researchers with a guide to identify future research directions. Relevant studies on depression and COVID-19 were retrieved from the Scopus database. Visualization maps were produced using the VOSviewer software, including research collaboration. RESULTS: At the time of data collection (November 18, 2020), 77217 documents were released by Scopus to COVID-19 in all areas of research. By limiting the search to depression and COVID-19 (January 2020 up until November 18, 2020), there are 1274 published articles on depression and COVID-19 in the Scopus. The great majority of which are original articles (n = 1049, 82.34%), followed by 118 review articles (9.26%), 66 letters (5.18%). The United States had the highest number of publications at 282 (22.14%), followed by China (19.07%) at 243 and Italy at 121 (9.5%). The major two clusters are signified by mental health outcomes among the general population and mental health outcomes among health care workers. CONCLUSION: The evidence from this study found that many articles focused on mental health outcomes among the general population and health care workers. With adequate psychological support offered by the government or community agencies, mental health in various communities should be put within the local and global public health agenda. This changing situation involves the scientific community's collaborative efforts to contribute to population monitoring during quarantine and COVID-19 outbreaks and to examine the short- and long-term adverse effects on psychological well-being. |
format | Online Article Text |
id | pubmed-8209539 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Baishideng Publishing Group Inc |
record_format | MEDLINE/PubMed |
spelling | pubmed-82095392021-06-23 Current global research landscape on COVID-19 and depressive disorders: Bibliometric and visualization analysis Al-Jabi, Samah W World J Psychiatry Scientometrics BACKGROUND: Coronavirus disease 2019 (COVID-19) has affected daily life globally dramatically over the last year. The impact of the COVID-19 epidemic on mental health is expected to be immense and likely to be long-lasting, raising a range of global problems that need to be addressed accordingly. AIM: To analyze the Scopus-based depression research and COVID-19, explain the advancement of research nowadays, and comment on the possible hotspots of depression research and COVID-19 to obtain a more global perspective. METHODS: In this report, bibliometric analysis and visualization are used to explain COVID-19's global research status on depression and provide researchers with a guide to identify future research directions. Relevant studies on depression and COVID-19 were retrieved from the Scopus database. Visualization maps were produced using the VOSviewer software, including research collaboration. RESULTS: At the time of data collection (November 18, 2020), 77217 documents were released by Scopus to COVID-19 in all areas of research. By limiting the search to depression and COVID-19 (January 2020 up until November 18, 2020), there are 1274 published articles on depression and COVID-19 in the Scopus. The great majority of which are original articles (n = 1049, 82.34%), followed by 118 review articles (9.26%), 66 letters (5.18%). The United States had the highest number of publications at 282 (22.14%), followed by China (19.07%) at 243 and Italy at 121 (9.5%). The major two clusters are signified by mental health outcomes among the general population and mental health outcomes among health care workers. CONCLUSION: The evidence from this study found that many articles focused on mental health outcomes among the general population and health care workers. With adequate psychological support offered by the government or community agencies, mental health in various communities should be put within the local and global public health agenda. This changing situation involves the scientific community's collaborative efforts to contribute to population monitoring during quarantine and COVID-19 outbreaks and to examine the short- and long-term adverse effects on psychological well-being. Baishideng Publishing Group Inc 2021-06-19 /pmc/articles/PMC8209539/ /pubmed/34168972 http://dx.doi.org/10.5498/wjp.v11.i6.253 Text en ©The Author(s) 2021. Published by Baishideng Publishing Group Inc. All rights reserved. https://creativecommons.org/licenses/by-nc/4.0/This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/Licenses/by-nc/4.0/ |
spellingShingle | Scientometrics Al-Jabi, Samah W Current global research landscape on COVID-19 and depressive disorders: Bibliometric and visualization analysis |
title | Current global research landscape on COVID-19 and depressive disorders: Bibliometric and visualization analysis |
title_full | Current global research landscape on COVID-19 and depressive disorders: Bibliometric and visualization analysis |
title_fullStr | Current global research landscape on COVID-19 and depressive disorders: Bibliometric and visualization analysis |
title_full_unstemmed | Current global research landscape on COVID-19 and depressive disorders: Bibliometric and visualization analysis |
title_short | Current global research landscape on COVID-19 and depressive disorders: Bibliometric and visualization analysis |
title_sort | current global research landscape on covid-19 and depressive disorders: bibliometric and visualization analysis |
topic | Scientometrics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8209539/ https://www.ncbi.nlm.nih.gov/pubmed/34168972 http://dx.doi.org/10.5498/wjp.v11.i6.253 |
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