ISARIC-COVID-19 dataset: a prospective, standardized, global dataset of patients hospitalized with COVID-19

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 h...

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Main Authors: Garcia-Gallo, Esteban, Merson, Laura, Kennon, Kalynn, Kelly, Sadie, Citarella, Barbara Wanjiru, Fryer, Daniel Vidali, Shrapnel, Sally, Lee, James, Reyes, Luis Felipe, Rashan, Aasiyah, Beane, Abi, Mat Nor, Mohd Basri, Duque, Sara, Fuentes, Yuli V., Balan, Valeria, Smith, Sue, Rojek, Amanda
Format: Article
Language:English
English
Published: Springer Nature 2022
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Online Access:http://irep.iium.edu.my/104413/1/s41597-022-01534-9.pdf
http://irep.iium.edu.my/104413/7/104413_ISARIC-COVID-19%20dataset%20A%20Prospective%2C%20Standardized%2C%20Global%20Dataset_Scopus.pdf
http://irep.iium.edu.my/104413/
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spelling my.iium.irep.1044132024-10-29T04:03:32Z http://irep.iium.edu.my/104413/ ISARIC-COVID-19 dataset: a prospective, standardized, global dataset of patients hospitalized with COVID-19 Garcia-Gallo, Esteban Merson, Laura Kennon, Kalynn Kelly, Sadie Citarella, Barbara Wanjiru Fryer, Daniel Vidali Shrapnel, Sally Lee, James Reyes, Luis Felipe Rashan, Aasiyah Beane, Abi Mat Nor, Mohd Basri Duque, Sara Fuentes, Yuli V. Balan, Valeria Smith, Sue Rojek, Amanda RA644.C67 Coronavirus infections. COVID-19 (Disease). COVID-19 Pandemic, 2020 RC82 Medical Emergencies, Critical Care, Intensive Care, First Aid 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. Springer Nature 2022-07-30 Article NonPeerReviewed application/pdf en http://irep.iium.edu.my/104413/1/s41597-022-01534-9.pdf application/pdf en http://irep.iium.edu.my/104413/7/104413_ISARIC-COVID-19%20dataset%20A%20Prospective%2C%20Standardized%2C%20Global%20Dataset_Scopus.pdf 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 10.1038/s41597-022-01534-9
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
English
topic RA644.C67 Coronavirus infections. COVID-19 (Disease). COVID-19 Pandemic, 2020
RC82 Medical Emergencies, Critical Care, Intensive Care, First Aid
spellingShingle RA644.C67 Coronavirus infections. COVID-19 (Disease). COVID-19 Pandemic, 2020
RC82 Medical Emergencies, Critical Care, Intensive Care, First Aid
Garcia-Gallo, Esteban
Merson, Laura
Kennon, Kalynn
Kelly, Sadie
Citarella, Barbara Wanjiru
Fryer, Daniel Vidali
Shrapnel, Sally
Lee, James
Reyes, Luis Felipe
Rashan, Aasiyah
Beane, Abi
Mat Nor, Mohd Basri
Duque, Sara
Fuentes, Yuli V.
Balan, Valeria
Smith, Sue
Rojek, Amanda
ISARIC-COVID-19 dataset: a prospective, standardized, global dataset of patients hospitalized with COVID-19
description 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.
format Article
author Garcia-Gallo, Esteban
Merson, Laura
Kennon, Kalynn
Kelly, Sadie
Citarella, Barbara Wanjiru
Fryer, Daniel Vidali
Shrapnel, Sally
Lee, James
Reyes, Luis Felipe
Rashan, Aasiyah
Beane, Abi
Mat Nor, Mohd Basri
Duque, Sara
Fuentes, Yuli V.
Balan, Valeria
Smith, Sue
Rojek, Amanda
author_facet Garcia-Gallo, Esteban
Merson, Laura
Kennon, Kalynn
Kelly, Sadie
Citarella, Barbara Wanjiru
Fryer, Daniel Vidali
Shrapnel, Sally
Lee, James
Reyes, Luis Felipe
Rashan, Aasiyah
Beane, Abi
Mat Nor, Mohd Basri
Duque, Sara
Fuentes, Yuli V.
Balan, Valeria
Smith, Sue
Rojek, Amanda
author_sort Garcia-Gallo, Esteban
title ISARIC-COVID-19 dataset: a prospective, standardized, global dataset of patients hospitalized with COVID-19
title_short ISARIC-COVID-19 dataset: a prospective, standardized, global dataset of patients hospitalized with COVID-19
title_full ISARIC-COVID-19 dataset: a prospective, standardized, global dataset of patients hospitalized with COVID-19
title_fullStr ISARIC-COVID-19 dataset: a prospective, standardized, global dataset of patients hospitalized with COVID-19
title_full_unstemmed ISARIC-COVID-19 dataset: a prospective, standardized, global dataset of patients hospitalized with COVID-19
title_sort isaric-covid-19 dataset: a prospective, standardized, global dataset of patients hospitalized with covid-19
publisher Springer Nature
publishDate 2022
url http://irep.iium.edu.my/104413/1/s41597-022-01534-9.pdf
http://irep.iium.edu.my/104413/7/104413_ISARIC-COVID-19%20dataset%20A%20Prospective%2C%20Standardized%2C%20Global%20Dataset_Scopus.pdf
http://irep.iium.edu.my/104413/
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