دورية أكاديمية

ISARIC-COVID-19 dataset: a prospective, standardized, global dataset of patients hospitalized with COVID-19

التفاصيل البيبلوغرافية
العنوان: ISARIC-COVID-19 dataset: a prospective, standardized, global dataset of patients hospitalized with COVID-19
المؤلفون: Garcia-Gallo, E, Merson, L, Kennon, K, Kelly, S, Citarella, BW, Fryer, DV, Shrapnel, S, Lee, J, Duque, S, Fuentes, YV, Balan, V, Smith, S, Wei, J, Goncalves, BP, Russell, CD, Sigfrid, L, Dagens, A, Olliaro, PL, Baruch, J, Kartsonaki, C, Dunning, J, Rojek, A, Rashan, A, Beane, A, Murthy, S, Reyes, LF
المصدر: 22 ; 1
بيانات النشر: Nature Portfolio
سنة النشر: 2022
المجموعة: Imperial College London: Spiral
الوصف: 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.
نوع الوثيقة: article in journal/newspaper
اللغة: English
تدمد: 2052-4463
العلاقة: Scientific Data; http://hdl.handle.net/10044/1/105230Test
DOI: 10.1038/s41597-022-01534-9
الإتاحة: https://doi.org/10.1038/s41597-022-01534-9Test
http://hdl.handle.net/10044/1/105230Test
حقوق: © The Author(s) 2022. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0Test/. ; https://creativecommons.org/licenses/by/4.0Test/
رقم الانضمام: edsbas.998F3F54
قاعدة البيانات: BASE
الوصف
تدمد:20524463
DOI:10.1038/s41597-022-01534-9