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The nurse COVID and historical epidemics literature repository: Development, description, and summary

Loresto, Figaro L ; Nunez, Lisa ; Tarasenko, Lindsey ; Pierre, Marie St ; Oja, Kenneth ; Mueller, Mallory ; Switzer, Bailey ; Marroquin, Katherine ; Kleiner, Catherine

Nursing outlook, 2021-05, Vol.69 (3), p.257-264 [Periódico revisado por pares]

United States: Elsevier Inc

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  • Título:
    The nurse COVID and historical epidemics literature repository: Development, description, and summary
  • Autor: Loresto, Figaro L ; Nunez, Lisa ; Tarasenko, Lindsey ; Pierre, Marie St ; Oja, Kenneth ; Mueller, Mallory ; Switzer, Bailey ; Marroquin, Katherine ; Kleiner, Catherine
  • Assuntos: COVID-19 ; Nursing ; Resource ; Text mining
  • É parte de: Nursing outlook, 2021-05, Vol.69 (3), p.257-264
  • Notas: ObjectType-Article-1
    SourceType-Scholarly Journals-1
    ObjectType-Feature-2
    content type line 23
  • Descrição: •The pandemic has necessitated the need to gain information from published literature quickly.•Text mining and natural language processing (NLP) has been utilized to help parse out high-level information from the COVID-19 Open Research Dataset (CORD-19) Challenge, a data set containing over 100,000 articles.•The Nursing COVID and Historical Epidemic Literature Repository contains 770 published literature specific to nursing and uses a variety of text mining and NLP to summarize the information.•Using TextRank, it was identified that the topics around psychological support for nurses and the need for rapid high-impact education were identified.•Nurse leaders and health care leaders need to note the importance of providing psychological support for their nurses as it is the important topic for nurse literature related to COVID-19. During COVID-19, a Kaggle challenge was issued to data scientists to leverage text mining to provide high-level summaries of full-text articles in the COVID-19 Open Research Dataset (CORD-19) data set, a data set containing articles around COVID-19 and other epidemics. A question was asked: “What if nursing had something similar?” Describe the development and function of the Nursing COVID and Historical Epidemic Literature and describe high-level summaries of abstracts within the repository. Nurse-specific literature was abstracted from two data sets: CORD-19 and LitCOVID. LitCOVID is a data set containing the most up-to-date literature around COVID-19. Multiple text mining algorithms were utilized to provide summaries of the articles. As of July 2020, the repository contains 760 articles. Summaries indicate the importance of psychological support for nurses and of high-impact rapid education. To our knowledge, this repository is the only repository specific for nursing that utilizes text mining to provide summaries.
  • Editor: United States: Elsevier Inc
  • Idioma: Inglês
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