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Coronavirus Disease 2019 (COVID-19): An Evidence Map of Medical Literature
Nan Liu; Marcel Lucas Chee; Chenglin Niu; Pin Pin Pek; Fahad Javaid Siddiqui; John Pastor Ansah; David Bruce Matchar; Sean Shao Wei Lam; Hairil Rizal Abdullah; Angelique Chan; Rahul Malhotra; Nicholas Graves; Mariko Siyue Koh; Sungwon Yoon; Andrew Fu Wah Ho; Daniel Shu Wei Ting; Jenny Guek Hong Low; Marcus Eng Hock Ong.
Affiliation
  • Nan Liu; Duke-NUS Medical School
  • Marcel Lucas Chee; Monash University
  • Chenglin Niu; Duke-NUS Medical School
  • Pin Pin Pek; Duke-NUS Medical School
  • Fahad Javaid Siddiqui; Duke-NUS Medical School
  • John Pastor Ansah; Duke-NUS Medical School
  • David Bruce Matchar; Duke-NUS Medical School
  • Sean Shao Wei Lam; Singapore Health Services
  • Hairil Rizal Abdullah; Singapore General Hospital
  • Angelique Chan; Duke-NUS Medical School
  • Rahul Malhotra; Duke-NUS Medical School
  • Nicholas Graves; Duke-NUS Medical School
  • Mariko Siyue Koh; Singapore General Hospital
  • Sungwon Yoon; Duke-NUS Medical School
  • Andrew Fu Wah Ho; Singapore General Hospital
  • Daniel Shu Wei Ting; Singapore National Eye Centre
  • Jenny Guek Hong Low; Singapore General Hospital
  • Marcus Eng Hock Ong; Duke-NUS Medical School
Preprint in English | medRxiv | ID: ppmedrxiv-20093674
Journal article
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ABSTRACT
Since the beginning of the COVID-19 outbreak in December 2019, a substantial body of COVID-19 medical literature has been generated. As of May 2020, gaps in the existing literature remain unidentified and, hence, unaddressed. In this paper, we summarise the medical literature on COVID-19 between 1 January and 24 March 2020 using evidence maps and bibliometric analysis in order to systematically identify gaps and propose areas for valuable future research. The examined COVID-19 medical literature originated primarily from Asia and focussed mainly on clinical features and diagnosis of the disease. Many areas of potential research remain underexplored, such as mental health research, the use of novel technologies and artificial intelligence, research on the pathophysiology of COVID-19 within different body systems, and research on indirect effects of COVID-19 on the care of non-COVID-19 patients. Research collaboration at the international level was limited although improvements may aid global containment efforts.
License
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Full text: Available Collection: Preprints Database: medRxiv Type of study: Prognostic study / Review Language: English Year: 2020 Document type: Preprint
Full text: Available Collection: Preprints Database: medRxiv Type of study: Prognostic study / Review Language: English Year: 2020 Document type: Preprint
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