Journal article
ISARIC-COVID-19 dataset: A Prospective, Standardized, Global Dataset of Patients Hospitalized with COVID-19
Scientific Data, Vol.9, 454
07/30/2022
DOI: 10.1038/s41597-022-01534-9
PMCID: PMC9339000
PMID: 35908040
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.
Details
- Title: Subtitle
- ISARIC-COVID-19 dataset: A Prospective, Standardized, Global Dataset of Patients Hospitalized with COVID-19
- Creators
- Esteban Garcia-GalloLaura Merson - University of OxfordKalynn KennonSadie KellyBarbara Wanjiru CitarellaDaniel Vidali FryerSally Shrapnel - The University of QueenslandJames Lee - University of OxfordSara DuqueYuli V FuentesValeria BalanSue SmithJia WeiBronner P GonçalvesISARIC Clinical Characterization Group
- Contributors
- Lovkesh Arora (Contributor) - University of Iowa, Anesthesia
- Resource Type
- Journal article
- Publication Details
- Scientific Data, Vol.9, 454
- DOI
- 10.1038/s41597-022-01534-9
- PMID
- 35908040
- PMCID
- PMC9339000
- NLM abbreviation
- Sci Data
- ISSN
- 2052-4436
- Grant note
- DOI: 10.13039/100000865, name: Bill and Melinda Gates Foundation, award: INV-017293, INV-017293, INV-017293; DOI: 10.13039/100000865, name: Bill and Melinda Gates Foundation; DOI: 10.13039/100000865, name: Bill and Melinda Gates Foundation
- Date published
- 07/30/2022
- Academic Unit
- Anesthesia
- Record Identifier
- 9984366655002771
Metrics
14 Record Views