Links to Covid-focused research databases and datasets
​A number of COVID-19 focused databases have been developed: these are listed below. 

​You may also wish to search the core healthcare databases (Medline, Embase, CINAHL) on the NICE Evidence website (or we are very happy to do the searching for you: email: [email protected]). 

​The Library & Knowledge Service also has access to a wide range of additional online biomedical databases, clinical skills resources and CPD tools, including extra resources made freely available to NHS staff for the duration of the COVID-19 e.g. Clinical Skills and The Royal Marden Manual.  Visit our databases page to access these. ​
Databases of research:
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  • COVID-19: a living systematic map of the evidence​
    ​In response to the current crisis, the EPPI-Centre (UCL) are maintaining an up-to-date map of the current evidence divided into broad domains for easy exploration. 

  • WHO COVID-19 Database: single search of global research on coronavirus. 
    WHO is gathering the latest international multilingual scientific findings and knowledge on COVID-19. The global literature cited in the WHO COVID-19 database is updated daily (Monday through Friday) from searches of bibliographic databases, hand searching, and the addition of other expert-referred scientific articles. 

  • LitCovid: a curated literature hub (US) for tracking up-to-date scientific information about the 2019 novel Coronavirus. (US National Library of Medicine) 'It is the most comprehensive resource on the subject, providing a central access to 5645 (and growing) relevant articles in PubMed. The articles are updated daily and are further categorized by different research topics and geographic locations for improved access'.

  • CoronaCentral: collates research publications from the three main coronaviruses: SARS-CoV-2, MERS-CoV and SARS-CoV
    Categorises papers into a large number of narrow topics and article types, enabling easier identification of relevant work. Papers, from peer-reviewed and preprint sources, are split into different article types using machine learning. The latest research is retrieved daily from PubMed and the CORD-19 dataset. https://coronacentral.ai

  • CORD-19: The Semantic Scholar team at the Allen Institute for AI has partnered with leading research groups to provide CORD-19, a free resource of more than 280,000 scholarly articles about the novel coronavirus for use by the global research community. https://www.semanticscholar.org/cord19 www.semanticscholar.org/cord19

  • DisasterLit Database for Disaster Medicine and Public Health: US National Library of Medicine (NLM) database of links to disaster medicine and public health documents. Documents include expert guidelines, research reports, conference proceedings, training classes, fact sheets, websites, databases, and similar materials for a professional audience.

Datasets: 
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