Garcia-Gallo, Esteban and Merson, Laura and Kennon, Kalynn and Kelly, Sadie and Citarella, Barbara Wanjiru and Fryer, Daniel Vidali and Shrapnel, Sally and Lee, James and Reyes, Luis Felipe and Rashan, Aasiyah and Beane, Abi and Mat Nor, Mohd Basri and Duque, Sara and Fuentes, Yuli V. and Balan, Valeria and Smith, Sue and Rojek, Amanda (2022) ISARIC-COVID-19 dataset: a prospective, standardized, global dataset of patients hospitalized with COVID-19. Scientific Data, 9 (1). pp. 1-22. E-ISSN 2052-4463
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Abstract
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.
| Item Type: | Article (Journal) |
|---|---|
| Subjects: | R Medicine > RA Public aspects of medicine > RA644.C67 Coronavirus infections. COVID-19 (Disease). COVID-19 Pandemic, 2020 R Medicine > RC Internal medicine > RC82 Medical Emergencies, Critical Care, Intensive Care, First Aid |
| Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): | Kulliyyah of Medicine > Department of Anaesthesiology & Intensive Care |
| Depositing User: | Dr. Mohd Basri Mat Nor |
| Date Deposited: | 29 Oct 2024 11:24 |
| Last Modified: | 29 Oct 2024 12:03 |
| URI: | http://irep.iium.edu.my/id/eprint/104413 |
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