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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.
  • Liu N; Duke-NUS Medical School, National University of Singapore, Singapore, Singapore. liu.nan@duke-nus.edu.sg.
  • Chee ML; Health Services Research Centre, Singapore Health Services, Singapore, Singapore. liu.nan@duke-nus.edu.sg.
  • Niu C; Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia.
  • Pek PP; Duke-NUS Medical School, National University of Singapore, Singapore, Singapore.
  • Siddiqui FJ; Duke-NUS Medical School, National University of Singapore, Singapore, Singapore.
  • Ansah JP; Department of Emergency Medicine, Singapore General Hospital, Singapore, Singapore.
  • Matchar DB; Duke-NUS Medical School, National University of Singapore, Singapore, Singapore.
  • Lam SSW; Duke-NUS Medical School, National University of Singapore, Singapore, Singapore.
  • Abdullah HR; Duke-NUS Medical School, National University of Singapore, Singapore, Singapore.
  • Chan A; Department of Medicine, Duke University School of Medicine, Durham, NC, USA.
  • Malhotra R; Duke-NUS Medical School, National University of Singapore, Singapore, Singapore.
  • Graves N; Health Services Research Centre, Singapore Health Services, Singapore, Singapore.
  • Koh MS; Duke-NUS Medical School, National University of Singapore, Singapore, Singapore.
  • Yoon S; Department of Anaesthesiology, Singapore General Hospital, Singapore, Singapore.
  • Ho AFW; Duke-NUS Medical School, National University of Singapore, Singapore, Singapore.
  • Ting DSW; Duke-NUS Medical School, National University of Singapore, Singapore, Singapore.
  • Low JGH; Duke-NUS Medical School, National University of Singapore, Singapore, Singapore.
  • Ong MEH; Duke-NUS Medical School, National University of Singapore, Singapore, Singapore.
BMC Med Res Methodol ; 20(1): 177, 2020 07 02.
Article in English | MEDLINE | ID: covidwho-621490
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ABSTRACT

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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Periodicals as Topic / Pneumonia, Viral / Bibliometrics / Coronavirus Infections / Pandemics Type of study: Observational study / Prognostic study / Randomized controlled trials / Reviews Limits: Humans Language: English Journal: BMC Med Res Methodol Journal subject: Medicine Year: 2020 Document Type: Article Affiliation country: S12874-020-01059-y

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Periodicals as Topic / Pneumonia, Viral / Bibliometrics / Coronavirus Infections / Pandemics Type of study: Observational study / Prognostic study / Randomized controlled trials / Reviews Limits: Humans Language: English Journal: BMC Med Res Methodol Journal subject: Medicine Year: 2020 Document Type: Article Affiliation country: S12874-020-01059-y