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LitCovid in 2022: an information resource for the COVID-19 literature.
Chen, Qingyu; Allot, Alexis; Leaman, Robert; Wei, Chih-Hsuan; Aghaarabi, Elaheh; Guerrerio, John J; Xu, Lilly; Lu, Zhiyong.
Afiliación
  • Chen Q; National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, MD, USA.
  • Allot A; National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, MD, USA.
  • Leaman R; National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, MD, USA.
  • Wei CH; National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, MD, USA.
  • Aghaarabi E; National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, MD, USA.
  • Guerrerio JJ; Towson University, Towson, MD, USA.
  • Xu L; National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, MD, USA.
  • Lu Z; Dartmouth College, Hanover, NH, USA.
Nucleic Acids Res ; 51(D1): D1512-D1518, 2023 01 06.
Article en En | MEDLINE | ID: mdl-36350613
ABSTRACT
LitCovid (https//www.ncbi.nlm.nih.gov/research/coronavirus/)-first launched in February 2020-is a first-of-its-kind literature hub for tracking up-to-date published research on COVID-19. The number of articles in LitCovid has increased from 55 000 to ∼300 000 over the past 2.5 years, with a consistent growth rate of ∼10 000 articles per month. In addition to the rapid literature growth, the COVID-19 pandemic has evolved dramatically. For instance, the Omicron variant has now accounted for over 98% of new infections in the United States. In response to the continuing evolution of the COVID-19 pandemic, this article describes significant updates to LitCovid over the last 2 years. First, we introduced the long Covid collection consisting of the articles on COVID-19 survivors experiencing ongoing multisystemic symptoms, including respiratory issues, cardiovascular disease, cognitive impairment, and profound fatigue. Second, we provided new annotations on the latest COVID-19 strains and vaccines mentioned in the literature. Third, we improved several existing features with more accurate machine learning algorithms for annotating topics and classifying articles relevant to COVID-19. LitCovid has been widely used with millions of accesses by users worldwide on various information needs and continues to play a critical role in collecting, curating and standardizing the latest knowledge on the COVID-19 literature.
Asunto(s)

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Bases de Datos Bibliográficas / COVID-19 Límite: Humans País/Región como asunto: America do norte Idioma: En Revista: Nucleic Acids Res Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Bases de Datos Bibliográficas / COVID-19 Límite: Humans País/Región como asunto: America do norte Idioma: En Revista: Nucleic Acids Res Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos