ISARIC-COVID-19 dataset: A Prospective, Standardized, Global Dataset of Patients Hospitalized with COVID-19

被引：0

作者：

Esteban Garcia-Gallo

Laura Merson

Kalynn Kennon

Sadie Kelly

Barbara Wanjiru Citarella

Daniel Vidali Fryer

Sally Shrapnel

James Lee

Sara Duque

Yuli V. Fuentes

Valeria Balan

Sue Smith

Jia Wei

Bronner P. Gonçalves

Clark D. Russell

Louise Sigfrid

Andrew Dagens

Piero L. Olliaro

Joaquin Baruch

Christiana Kartsonaki

Jake Dunning

Amanda Rojek

Aasiyah Rashan

Abi Beane

Srinivas Murthy

Luis Felipe Reyes

机构：

[1] Universidad de La Sabana,International Severe Acute Respiratory and Emerging Infections Consortium (ISARIC)

[2] University of Oxford,Infectious Diseases Data Observatory (IDDO)

[3] University of Oxford,Wellcome

[4] The University of Queensland,CRIT Care Asia

[5] The Australian Research Council Centre of Excellence for Engineered Quantum Systems, Africa, Nuffield Department of Clinical Medicine

[6] the University of Edinburgh Centre for Inflammation Research,Division of Critical Care, Department of Pediatrics, Faculty of Medicine

[7] Nat. Intensive Care Surveillance- M.O.R.U,University Children’s Hospital

[8] University of Oxford,Klinik und Poliklinik für Innere Medizin II

[9] University of British Columbia,undefined

[10] Ziauddin Medical University Clifton Campus,undefined

[11] King Abdulaziz Medical City,undefined

[12] Tuanku Fauziah Hospital,undefined

[13] Chiba University Hospital,undefined

[14] INSERM,undefined

[15] CUB-Hopital Erasme,undefined

[16] Bar-Ilan University,undefined

[17] Tribhuvan University Teaching Hospital,undefined

[18] Perelman School of Medicine at the University of Pennsylvania,undefined

[19] Rinku General Medical Center,undefined

[20] Uniklinik University Hospital,undefined

[21] University Hospital of Parma,undefined

[22] Centro Hospitalar Vila Nova de Gaia/Espinho,undefined

[23] King Faisal Hospital Research Center,undefined

[24] University Hospital,undefined

[25] St Vincents University Hospital,undefined

[26] Murni Teguh Memorial Hospital and Bunda Thamrin Hospital,undefined

[27] Our lady of Lourdes Drogheda,undefined

[28] Hamad General Hospital,undefined

[29] Centre Hospitalier de Saintonge,undefined

[30] Teine Keijinkai Hospital,undefined

[31] Persahabatan Hospital,undefined

[32] Al-Adan Hospital,undefined

[33] Al-Amiri & Jaber Al-Ahmed Hospitals,undefined

[34] Beaumont Hospital,undefined

[35] Northwell Health,undefined

[36] Galway University Hospital,undefined

[37] Hospital Vall d’Hebron,undefined

[38] University Hospital Policlinico Paolo Giaccone,undefined

[39] ISARIC4C,undefined

[40] Centre Hospitalier Universitaire Rouen (Center Hospitalier Universitaire de Rouen),undefined

[41] St Bernard’s Hospital,undefined

[42] Sligo University Hospital (Saolta),undefined

[43] Hameed Latif Hospital,undefined

[44] Centre Hospitalier Universitaire de Lille,undefined

[45] Centre Hospitalier Universitaire de Nantes (Hôpital femme-enfant-adolescent),undefined

[46] Centre Hospitalier Félix-Guyon,undefined

[47] Abbasi Shaheed Hospital,undefined

[48] Hospital Universiti Sains Malaysia,undefined

[49] Centro Hospital e Universitário de Coimbra,undefined

[50] Hospital de São José -U.U.M.,undefined

来源：

Scientific Data | / 9卷

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摘要：

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.

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