Your browser doesn't support javascript.
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; Duque, Sara; Fuentes, Yuli V; Balan, Valeria; Smith, Sue; Wei, Jia; Gonçalves, Bronner P; Russell, Clark D; Sigfrid, Louise; Dagens, Andrew; Olliaro, Piero L; Baruch, Joaquin; Kartsonaki, Christiana; Dunning, Jake; Rojek, Amanda; Rashan, Aasiyah; Beane, Abi; Murthy, Srinivas; Reyes, Luis Felipe.
  • Garcia-Gallo E; Universidad de La Sabana, Chía, Colombia.
  • Merson L; International Severe Acute Respiratory and Emerging Infections Consortium (ISARIC), University of Oxford, Oxford, United Kingdom. laura.merson@ndm.ox.ac.uk.
  • Kennon K; Infectious Diseases Data Observatory (IDDO), University of Oxford, Oxford, United Kingdom. laura.merson@ndm.ox.ac.uk.
  • Kelly S; Infectious Diseases Data Observatory (IDDO), University of Oxford, Oxford, United Kingdom.
  • Citarella BW; Infectious Diseases Data Observatory (IDDO), University of Oxford, Oxford, United Kingdom.
  • Fryer DV; International Severe Acute Respiratory and Emerging Infections Consortium (ISARIC), University of Oxford, Oxford, United Kingdom.
  • Shrapnel S; The University of Queensland, Brisbane, Australia.
  • Lee J; The University of Queensland, Brisbane, Australia.
  • Duque S; The Australian Research Council Centre of Excellence for Engineered Quantum Systems, St. Lucia, Australia.
  • Fuentes YV; International Severe Acute Respiratory and Emerging Infections Consortium (ISARIC), University of Oxford, Oxford, United Kingdom.
  • Balan V; Universidad de La Sabana, Chía, Colombia.
  • Smith S; Universidad de La Sabana, Chía, Colombia.
  • Wei J; International Severe Acute Respiratory and Emerging Infections Consortium (ISARIC), University of Oxford, Oxford, United Kingdom.
  • Gonçalves BP; International Severe Acute Respiratory and Emerging Infections Consortium (ISARIC), University of Oxford, Oxford, United Kingdom.
  • Russell CD; International Severe Acute Respiratory and Emerging Infections Consortium (ISARIC), University of Oxford, Oxford, United Kingdom.
  • Sigfrid L; International Severe Acute Respiratory and Emerging Infections Consortium (ISARIC), University of Oxford, Oxford, United Kingdom.
  • Dagens A; the University of Edinburgh Centre for Inflammation Research, Edinburgh, United Kingdom.
  • Olliaro PL; International Severe Acute Respiratory and Emerging Infections Consortium (ISARIC), University of Oxford, Oxford, United Kingdom.
  • Baruch J; International Severe Acute Respiratory and Emerging Infections Consortium (ISARIC), University of Oxford, Oxford, United Kingdom.
  • Kartsonaki C; International Severe Acute Respiratory and Emerging Infections Consortium (ISARIC), University of Oxford, Oxford, United Kingdom.
  • Dunning J; International Severe Acute Respiratory and Emerging Infections Consortium (ISARIC), University of Oxford, Oxford, United Kingdom.
  • Rojek A; International Severe Acute Respiratory and Emerging Infections Consortium (ISARIC), University of Oxford, Oxford, United Kingdom.
  • Rashan A; International Severe Acute Respiratory and Emerging Infections Consortium (ISARIC), University of Oxford, Oxford, United Kingdom.
  • Beane A; International Severe Acute Respiratory and Emerging Infections Consortium (ISARIC), University of Oxford, Oxford, United Kingdom.
  • Murthy S; Nat. Intensive Care Surveillance- M.O.R.U, Colombo, Sri Lanka.
  • Reyes LF; Wellcome-CRIT Care Asia- Africa, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, United Kingdom.
Sci Data ; 9(1): 454, 2022 07 30.
Article in English | MEDLINE | ID: covidwho-1967615
ABSTRACT
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.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 / Hospitalization Type of study: Cohort study / Observational study / Prognostic study Topics: Vaccines Limits: Humans Language: English Journal: Sci Data Year: 2022 Document Type: Article Affiliation country: S41597-022-01534-9

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 / Hospitalization Type of study: Cohort study / Observational study / Prognostic study Topics: Vaccines Limits: Humans Language: English Journal: Sci Data Year: 2022 Document Type: Article Affiliation country: S41597-022-01534-9