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  • 标题:ISARIC-COVID-19 dataset: A Prospective, Standardized, Global Dataset of Patients Hospitalized with COVID-19
  • 本地全文:下载
  • 作者:Esteban Garcia-Gallo ; Laura Merson ; Kalynn Kennon
  • 期刊名称:Scientific Data
  • 电子版ISSN:2052-4463
  • 出版年度:2022
  • 卷号:9
  • 期号:1
  • 页码:1-22
  • DOI:10.1038/s41597-022-01534-9
  • 语种:English
  • 出版社:Nature Publishing Group
  • 摘要:The International Severe Acute Respiratory and Emerging Infection Consortium (ISARIC) COVID-19 dataset is one of the largest international databases of prospectively collected clinical data on people hospitalized with COVID-19 . This dataset was compiled during the COVID-19 pandemic by a network of hospitals that collect data using the ISARIC-World Health Organization Clinical Characterization Protocol and data tools . The database includes data from more than 705,000 patients, collected in more than 60 countries and 1,500 centres worldwide . Patient data are available from acute hospital admissions with COVID-19 and outpatient follow-ups . The data include signs and symptoms, pre-existing comorbidities, vital signs, chronic and acute treatments, complications, dates of hospitalization and discharge, mortality, viral strains, vaccination status, and other data . Here, we present the dataset characteristics, explain its architecture and how to gain access, and provide tools to facilitate its use .
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