LitCovid: an open database of COVID-19 literature

Abstract Since the outbreak of the current pandemic in 2020, there has been a rapid growth of published articles on COVID-19 and SARS-CoV-2, with about 10 000 new articles added each month. This is causing an increasingly serious information overload, making it difficult for scientists, healthcare p...

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Vydané v:Nucleic acids research Ročník 49; číslo D1; s. D1534 - D1540
Hlavní autori: Chen, Qingyu, Allot, Alexis, Lu, Zhiyong
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: England Oxford University Press 08.01.2021
Predmet:
COVID-19 - epidemiology
COVID-19 - prevention & control
COVID-19 - virology
Data Curation - methods
Data Curation - statistics & numerical data
Data Mining - methods
Data Mining - statistics & numerical data
Database Issue
Databases, Factual
Humans
Internet
Machine Learning
Pandemics
Publications - statistics & numerical data
PubMed - statistics & numerical data
SARS-CoV-2 - isolation & purification
SARS-CoV-2 - physiology
ISSN:0305-1048, 1362-4962, 1362-4962
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Shrnutí:Abstract Since the outbreak of the current pandemic in 2020, there has been a rapid growth of published articles on COVID-19 and SARS-CoV-2, with about 10 000 new articles added each month. This is causing an increasingly serious information overload, making it difficult for scientists, healthcare professionals and the general public to remain up to date on the latest SARS-CoV-2 and COVID-19 research. Hence, we developed LitCovid (https://www.ncbi.nlm.nih.gov/research/coronavirus/), a curated literature hub, to track up-to-date scientific information in PubMed. LitCovid is updated daily with newly identified relevant articles organized into curated categories. To support manual curation, advanced machine-learning and deep-learning algorithms have been developed, evaluated and integrated into the curation workflow. To the best of our knowledge, LitCovid is the first-of-its-kind COVID-19-specific literature resource, with all of its collected articles and curated data freely available. Since its release, LitCovid has been widely used, with millions of accesses by users worldwide for various information needs, such as evidence synthesis, drug discovery and text and data mining, among others.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
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The authors wish it to be known that, in their opinion, the first two authors should be regarded as Joint First Authors.
ISSN:0305-1048
1362-4962
1362-4962
DOI:10.1093/nar/gkaa952