LitCovid: an open database of COVID-19 literature

• Published in: Nucleic acids research Vol. 49; no. D1; pp. D1534 - D1540
• Main Authors: Chen, Qingyu, Allot, Alexis, Lu, Zhiyong
• Format: Journal Article
• Language: English
• Published: England Oxford University Press 08.01.2021
• Subjects: 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

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...