TY - JOUR
T1 - ISARIC-COVID-19 dataset
T2 - A Prospective, Standardized, Global Dataset of Patients Hospitalized with COVID-19
AU - Mazankowski Heart Institute Ryckaert
AU - ISARIC Collaborator Korten
AU - ISARIC Clinical Characterization Group
AU - The Western Australian COVID-19 Research Response
AU - Long COVID India Etienne
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
AU - Olliaro, Piero L.
AU - Baruch, Joaquin
AU - Kartsonaki, Christiana
AU - Dunning, Jake
AU - Rojek, Amanda
AU - Rashan, Aasiyah
AU - Beane, Abi
AU - Murthy, Srinivas
AU - Reyes, Luis Felipe
AU - Abbas, Ali
AU - Abdukahil, Sheryl Ann
AU - Abdulkadir, Nurul Najmee
AU - Abe, Ryuzo
AU - Abel, Laurent
AU - Absil, Lara
AU - Jabal, Kamal Abu
AU - Zayyad, Hiba Abu
AU - Acharya, Subhash
AU - Acker, Andrew
AU - Adachi, Shingo
AU - Adam, Elisabeth
AU - Adriano, Enrico
AU - Adrião, Diana
AU - Ageel, Saleh Al
AU - Ahmed, Shakeel
AU - Aiello, Marina
AU - Ainscough, Kate
AU - Airlangga, Eka
AU - Aisa, Tharwat
AU - Hssain, Ali Ait
AU - Tamlihat, Younes Ait
AU - Akimoto, Takako
AU - Akmal, Ernita
AU - Qasim, Eman Al
AU - Al-Dabbous, Tala
AU - Al-Fares, Abdulrahman
AU - Alalqam, Razi
AU - Alberti, Angela
AU - Alegesan, Senthilkumar
AU - Alegre, Cynthia
AU - Alessi, Marta
AU - Alex, Beatrice
AU - Alexandre, Kévin
AU - Alfoudri, Huda
AU - Ali, Adam
AU - Ali, Imran
AU - Shah, Naseem Ali
AU - Sheikh, Naseem Ali
AU - Alidjnou, Kazali Enagnon
AU - Aliudin, Jeffrey
AU - Alkhafajee, Qabas
AU - Allavena, Clotilde
AU - Allou, Nathalie
AU - Altaf, Aneela
AU - Alves, João
AU - Alves, João Melo
AU - Alves, Rita
AU - Amaral, Maria
AU - Amira, Nur
AU - Ammerlaan, Heidi
AU - Ampaw, Phoebe
AU - Andini, Roberto
AU - Andrejak, Claire
AU - Angheben, Andrea
AU - Angoulvant, François
AU - Ansart, Séverine
AU - Anthonidass, Sivanesen
AU - Antonelli, Massimo
AU - Antunes de Brito, Carlos Alexandre
AU - Anwar, Kazi Rubayet
AU - Apriyana, Ardiyan
AU - Arabi, Yaseen
AU - Aragao, Irene
AU - Arancibia, Francisco
AU - Araujo, Carolline
AU - Arcadipane, Antonio
AU - Archambault, Patrick
AU - Arenz, Lukas
AU - Arlet, Jean Benoît
AU - Arnold-Day, Christel
AU - Aroca, Ana
AU - Arora, Lovkesh
AU - Laffey, John G.
N1 - Publisher Copyright:
© The Author(s) 2022.
PY - 2022/7/30
Y1 - 2022/7/30
N2 - 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.
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.
UR - https://www.scopus.com/pages/publications/85135223433
U2 - 10.1038/s41597-022-01534-9
DO - 10.1038/s41597-022-01534-9
M3 - Article
C2 - 35908040
AN - SCOPUS:85135223433
SN - 2052-4463
VL - 9
JO - Scientific data
JF - Scientific data
IS - 1
M1 - 454
ER -
SDG 3 Good Health and Well-being