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

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Coronavirus disease 2019 (COVID-19): an evidence map of medical literature
Creator	Liu, Nan Yoon, Sungwon Graves, Nicholas Guek, Jenny Lam, Wei Low, Hong Ong, Hock Abdullah, Hairil Chee, Marcel Eng, Marcus Fu, Andrew Ho, Wah Ansah, John Bruce Matchar, David Chan, Angelique Koh, Mariko Malhotra, Rahul Niu, Chenglin Shao, Sean Shu, Daniel Siddiqui, Fahad Ting, Wei
Source	Medline; PMC
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.
has issue date	2020-07-02(xsd:dateTime)
bibo:doi	10.1186/s12874-020-01059-y
bibo:pmid	32615936
has license	cc-by
sha1sum (hex)	69195c156244a7418dcab26512deb0fa0f36beaa
schema:url	https://doi.org/10.1186/s12874-020-01059-y
resource representing a document's title	Coronavirus disease 2019 (COVID-19): an evidence map of medical literature
has PubMed Central identifier	PMC7330264
has PubMed identifier	32615936
schema:publication	BMC Med Res Methodol
resource representing a document's body	covid:69195c156244a7418dcab26512deb0fa0f36beaa#body_text
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