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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Springer Nature
2022
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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 |
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RA644.C67 Coronavirus infections. COVID-19 (Disease). COVID-19 Pandemic, 2020 RC82 Medical Emergencies, Critical Care, Intensive Care, First Aid |
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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 |
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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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1814932521954050048 |
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13.211869 |