Publication:
Isaric-covid-19 dataset: a prospective, standardized, global dataset of patients hospitalized with covid-19

dc.contributor.authorGallo, Esteban Garcia
dc.contributor.authorMerson, Laura
dc.contributor.authorKennon, Kalynn
dc.contributor.authorKelly, Sadie
dc.contributor.authorCitarella, Barbara Wanjiru
dc.contributor.authorFryer, Daniel Vidali
dc.contributor.authorShrapnel, Sally
dc.contributor.authorKartsonaki, Christiana
dc.contributor.authorDunning, Jake
dc.date.accessioned2024-09-06T12:25:00Z
dc.date.available2024-09-06T12:25:00Z
dc.date.issued2022-07-30
dc.description.abstractThe 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.
dc.identifier.urihttps://erepository.mku.ac.ke/handle/123456789/6634
dc.language.isoen
dc.publisherScientific data
dc.titleIsaric-covid-19 dataset: a prospective, standardized, global dataset of patients hospitalized with covid-19
dc.typeArticle
dspace.entity.typePublication

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
s41597-022-01534-9.pdf
Size:
2.46 MB
Format:
Adobe Portable Document Format

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: