TY - JOUR
AU - Garcia-Gallo, Esteban
AU - Merson, Laura
AU - Kennon, Kalynn
AU - Kelly, Sadie
AU - Citarella, Barbara Wanjiru
AU - Fryer, Daniel Vidali
AU - Shrapnel, Sally
AU - Lee, James
AU - Duque, Sara
AU - Fuentes, Yuli V.
AU - Balan, Valeria
AU - Smith, Sue
AU - Wei, Jia
AU - Gonçalves, Bronner P.
AU - Russell, Clark D.
AU - Sigfrid, Louise
AU - Dagens, Andrew B.
AU - Olliaro, Piero L.
AU - Baruch, Joaquin
AU - Kartsonaki, Christiana
AU - Dunning, Jake
AU - Rojek, Amanda
AU - Rashan, Aasiyah
AU - Beane, Abigail
AU - Murthy, Srinivas
AU - Reyes, Luis Felipe
AU - ISARIC Clinical Characterization Group
PY - 2022
DA - July
TI - ISARIC-COVID-19 dataset: A Prospective, Standardized, Global Dataset of Patients Hospitalized with COVID-19
JO - Scientific Data
VL - 9
DO - https://doi.org/10.1038/s41597-022-01534-9
AB - 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.
PB - Springer Nature
UR - https://www.research.ed.ac.uk/en/publications/c8fb0dda-f65d-479a-83eb-9ca451b6811b
KW - Coronavirus (COVID-19)
KW - Hospital care
ER