Coronavirus disease 2019 (COVID-19): an evidence map of medical literature

  1. Liu, Nan ORCID logo
  2. Chee, Marcel Lucas
  3. Niu, Chenglin
  4. Pek, Pin Pin
  5. Siddiqui, Fahad Javaid
  6. Ansah, John Pastor
  7. Matchar, David Bruce
  8. Lam, Sean Shao Wei
  9. Abdullah, Hairil Rizal
  10. Chan, Angelique
  11. Malhotra, Rahul
  12. Graves, Nicholas
  13. Koh, Mariko Siyue
  14. Yoon, Sungwon
  15. Ho, Andrew Fu Wah
  16. Ting, Daniel Shu Wei
  17. Low, Jenny Guek Hong
  18. Ong, Marcus Eng Hock

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WeightNameValue
1000 Titel
  • Coronavirus disease 2019 (COVID-19): an evidence map of medical literature
1000 Autor/in
  1. Liu, Nan |
  2. Chee, Marcel Lucas |
  3. Niu, Chenglin |
  4. Pek, Pin Pin |
  5. Siddiqui, Fahad Javaid |
  6. Ansah, John Pastor |
  7. Matchar, David Bruce |
  8. Lam, Sean Shao Wei |
  9. Abdullah, Hairil Rizal |
  10. Chan, Angelique |
  11. Malhotra, Rahul |
  12. Graves, Nicholas |
  13. Koh, Mariko Siyue |
  14. Yoon, Sungwon |
  15. Ho, Andrew Fu Wah |
  16. Ting, Daniel Shu Wei |
  17. Low, Jenny Guek Hong |
  18. Ong, Marcus Eng Hock |
1000 Erscheinungsjahr 2020
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2020-07-02
1000 Erschienen in
1000 Quellenangabe
  • 20(1):177
1000 Copyrightjahr
  • 2020
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1186/s12874-020-01059-y |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • 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.
1000 Sacherschließung
gnd 1206347392 COVID-19
lokal Review
lokal Evidence gap map
lokal SARS-CoV-2
lokal Coronavirus
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0003-3610-4883|https://frl.publisso.de/adhoc/uri/Q2hlZSwgTWFyY2VsIEx1Y2Fz|https://frl.publisso.de/adhoc/uri/Tml1LCBDaGVuZ2xpbg==|https://frl.publisso.de/adhoc/uri/UGVrLCBQaW4gUGlu|https://frl.publisso.de/adhoc/uri/U2lkZGlxdWksIEZhaGFkIEphdmFpZA==|https://frl.publisso.de/adhoc/uri/QW5zYWgsIEpvaG4gUGFzdG9y|https://frl.publisso.de/adhoc/uri/TWF0Y2hhciwgRGF2aWQgQnJ1Y2U=|https://frl.publisso.de/adhoc/uri/TGFtLCBTZWFuIFNoYW8gV2Vp|https://frl.publisso.de/adhoc/uri/QWJkdWxsYWgsIEhhaXJpbCBSaXphbA==|https://frl.publisso.de/adhoc/uri/Q2hhbiwgQW5nZWxpcXVl|https://frl.publisso.de/adhoc/uri/TWFsaG90cmEsIFJhaHVs|https://frl.publisso.de/adhoc/uri/R3JhdmVzLCBOaWNob2xhcw==|https://frl.publisso.de/adhoc/uri/S29oLCBNYXJpa28gU2l5dWU=|https://frl.publisso.de/adhoc/uri/WW9vbiwgU3VuZ3dvbg==|https://frl.publisso.de/adhoc/uri/SG8sIEFuZHJldyBGdSBXYWg=|https://frl.publisso.de/adhoc/uri/VGluZywgRGFuaWVsIFNodSBXZWk=|https://frl.publisso.de/adhoc/uri/TG93LCBKZW5ueSBHdWVrIEhvbmc=|https://frl.publisso.de/adhoc/uri/T25nLCBNYXJjdXMgRW5nIEhvY2s=
1000 Label
1000 Förderer
  1. Ministry of Health -Singapore |
1000 Fördernummer
  1. -
1000 Förderprogramm
  1. Duke-NUS Signature Research
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Ministry of Health -Singapore |
    1000 Förderprogramm Duke-NUS Signature Research
    1000 Fördernummer -
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6421703.rdf
1000 Erstellt am 2020-07-06T10:54:04.335+0200
1000 Erstellt von 122
1000 beschreibt frl:6421703
1000 Bearbeitet von 122
1000 Zuletzt bearbeitet 2020-07-06T10:55:13.274+0200
1000 Objekt bearb. Mon Jul 06 10:54:56 CEST 2020
1000 Vgl. frl:6421703
1000 Oai Id
  1. oai:frl.publisso.de:frl:6421703 |
1000 Sichtbarkeit Metadaten public
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