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Coronavirus disease 2019 (COVID-19): an evidence map of medical literature
BACKGROUND: Since the beginning of the COVID-19 outbreak in December 2019, a substantial body of COVID-19 medical literature has been generated. As of June 2020, gaps and longitudinal trends in the COVID-19 medical literature remain unidentified, despite potential benefits for research prioritisatio...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7330264/ https://www.ncbi.nlm.nih.gov/pubmed/32615936 http://dx.doi.org/10.1186/s12874-020-01059-y |
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author | Liu, Nan Chee, Marcel Lucas Niu, Chenglin Pek, Pin Pin Siddiqui, Fahad Javaid Ansah, John Pastor Matchar, David Bruce Lam, Sean Shao Wei Abdullah, Hairil Rizal Chan, Angelique Malhotra, Rahul Graves, Nicholas Koh, Mariko Siyue Yoon, Sungwon Ho, Andrew Fu Wah Ting, Daniel Shu Wei Low, Jenny Guek Hong Ong, Marcus Eng Hock |
author_facet | Liu, Nan Chee, Marcel Lucas Niu, Chenglin Pek, Pin Pin Siddiqui, Fahad Javaid Ansah, John Pastor Matchar, David Bruce Lam, Sean Shao Wei Abdullah, Hairil Rizal Chan, Angelique Malhotra, Rahul Graves, Nicholas Koh, Mariko Siyue Yoon, Sungwon Ho, Andrew Fu Wah Ting, Daniel Shu Wei Low, Jenny Guek Hong Ong, Marcus Eng Hock |
author_sort | Liu, Nan |
collection | PubMed |
description | BACKGROUND: Since the beginning of the COVID-19 outbreak in December 2019, a substantial body of COVID-19 medical literature has been generated. As of June 2020, gaps and longitudinal trends in the COVID-19 medical literature remain unidentified, despite potential benefits for research prioritisation and policy setting in both the COVID-19 pandemic and future large-scale public health crises. METHODS: In this paper, we searched PubMed and Embase for medical literature on COVID-19 between 1 January and 24 March 2020. We characterised the growth of the early COVID-19 medical literature using evidence maps and bibliometric analyses to elicit cross-sectional and longitudinal trends and systematically identify gaps. RESULTS: The early COVID-19 medical literature originated primarily from Asia and focused mainly on clinical features and diagnosis of the disease. Many areas of potential research remain underexplored, such as mental health, the use of novel technologies and artificial intelligence, pathophysiology of COVID-19 within different body systems, and indirect effects of COVID-19 on the care of non-COVID-19 patients. Few articles involved research collaboration at the international level (24.7%). The median submission-to-publication duration was 8 days (interquartile range: 4–16). CONCLUSIONS: Although in its early phase, COVID-19 research has generated a large volume of publications. However, there are still knowledge gaps yet to be filled and areas for improvement for the global research community. Our analysis of early COVID-19 research may be valuable in informing research prioritisation and policy planning both in the current COVID-19 pandemic and similar global health crises. |
format | Online Article Text |
id | pubmed-7330264 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-73302642020-07-02 Coronavirus disease 2019 (COVID-19): an evidence map of medical literature Liu, Nan Chee, Marcel Lucas Niu, Chenglin Pek, Pin Pin Siddiqui, Fahad Javaid Ansah, John Pastor Matchar, David Bruce Lam, Sean Shao Wei Abdullah, Hairil Rizal Chan, Angelique Malhotra, Rahul Graves, Nicholas Koh, Mariko Siyue Yoon, Sungwon Ho, Andrew Fu Wah Ting, Daniel Shu Wei Low, Jenny Guek Hong Ong, Marcus Eng Hock BMC Med Res Methodol Research Article BACKGROUND: Since the beginning of the COVID-19 outbreak in December 2019, a substantial body of COVID-19 medical literature has been generated. As of June 2020, gaps and longitudinal trends in the COVID-19 medical literature remain unidentified, despite potential benefits for research prioritisation and policy setting in both the COVID-19 pandemic and future large-scale public health crises. METHODS: In this paper, we searched PubMed and Embase for medical literature on COVID-19 between 1 January and 24 March 2020. We characterised the growth of the early COVID-19 medical literature using evidence maps and bibliometric analyses to elicit cross-sectional and longitudinal trends and systematically identify gaps. RESULTS: The early COVID-19 medical literature originated primarily from Asia and focused mainly on clinical features and diagnosis of the disease. Many areas of potential research remain underexplored, such as mental health, the use of novel technologies and artificial intelligence, pathophysiology of COVID-19 within different body systems, and indirect effects of COVID-19 on the care of non-COVID-19 patients. Few articles involved research collaboration at the international level (24.7%). The median submission-to-publication duration was 8 days (interquartile range: 4–16). CONCLUSIONS: Although in its early phase, COVID-19 research has generated a large volume of publications. However, there are still knowledge gaps yet to be filled and areas for improvement for the global research community. Our analysis of early COVID-19 research may be valuable in informing research prioritisation and policy planning both in the current COVID-19 pandemic and similar global health crises. BioMed Central 2020-07-02 /pmc/articles/PMC7330264/ /pubmed/32615936 http://dx.doi.org/10.1186/s12874-020-01059-y Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Liu, Nan Chee, Marcel Lucas Niu, Chenglin Pek, Pin Pin Siddiqui, Fahad Javaid Ansah, John Pastor Matchar, David Bruce Lam, Sean Shao Wei Abdullah, Hairil Rizal Chan, Angelique Malhotra, Rahul Graves, Nicholas Koh, Mariko Siyue Yoon, Sungwon Ho, Andrew Fu Wah Ting, Daniel Shu Wei Low, Jenny Guek Hong Ong, Marcus Eng Hock Coronavirus disease 2019 (COVID-19): an evidence map of medical literature |
title | Coronavirus disease 2019 (COVID-19): an evidence map of medical literature |
title_full | Coronavirus disease 2019 (COVID-19): an evidence map of medical literature |
title_fullStr | Coronavirus disease 2019 (COVID-19): an evidence map of medical literature |
title_full_unstemmed | Coronavirus disease 2019 (COVID-19): an evidence map of medical literature |
title_short | Coronavirus disease 2019 (COVID-19): an evidence map of medical literature |
title_sort | coronavirus disease 2019 (covid-19): an evidence map of medical literature |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7330264/ https://www.ncbi.nlm.nih.gov/pubmed/32615936 http://dx.doi.org/10.1186/s12874-020-01059-y |
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