Imperial College London
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DR. DANIEL MUNBLIT

Faculty of Medicine, Department of Infectious Disease

Visiting Reader
 
 
 
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Contact

 

daniel.munblit08 Website CV

 
 
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Location

 

Paediatric Research UnitQueen Elizabeth the Queen Mother Wing (QEQM)St Mary's Campus

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Summary

 

Publications

Citation

BibTex format

@article{Garcia-Gallo:2022:10.1038/s41597-022-01534-9,
author = {Garcia-Gallo, E and Merson, L and Kennon, K and Kelly, S and Citarella, BW and Fryer, DV and Shrapnel, S and Lee, J and Duque, S and Fuentes, YV and Balan, V and Smith, S and Wei, J and Goncalves, BP and Russell, CD and Sigfrid, L and Dagens, A and Olliaro, PL and Baruch, J and Kartsonaki, C and Dunning, J and Rojek, A and Rashan, A and Beane, A and Murthy, S and Reyes, LF},
doi = {10.1038/s41597-022-01534-9},
journal = {Scientific Data},
pages = {1--22},
title = {ISARIC-COVID-19 dataset: a prospective, standardized, global dataset of patients hospitalized with COVID-19},
url = {http://dx.doi.org/10.1038/s41597-022-01534-9},
volume = {9},
year = {2022}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
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.
AU  - Garcia-Gallo,E
AU  - Merson,L
AU  - Kennon,K
AU  - Kelly,S
AU  - Citarella,BW
AU  - Fryer,DV
AU  - Shrapnel,S
AU  - Lee,J
AU  - Duque,S
AU  - Fuentes,YV
AU  - Balan,V
AU  - Smith,S
AU  - Wei,J
AU  - Goncalves,BP
AU  - Russell,CD
AU  - Sigfrid,L
AU  - Dagens,A
AU  - Olliaro,PL
AU  - Baruch,J
AU  - Kartsonaki,C
AU  - Dunning,J
AU  - Rojek,A
AU  - Rashan,A
AU  - Beane,A
AU  - Murthy,S
AU  - Reyes,LF
DO  - 10.1038/s41597-022-01534-9
EP  - 22
PY  - 2022///
SN  - 2052-4463
SP  - 1
TI  - ISARIC-COVID-19 dataset: a prospective, standardized, global dataset of patients hospitalized with COVID-19
T2  - Scientific Data
UR  - http://dx.doi.org/10.1038/s41597-022-01534-9
UR  - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000833501200005&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - https://www.nature.com/articles/s41597-022-01534-9
UR  - http://hdl.handle.net/10044/1/105230
VL  - 9
ER  -
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