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.
| Original language | English |
|---|---|
| Article number | 454 |
| Number of pages | 22 |
| Journal | Scientific Data |
| Volume | 9 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 30 Jul 2022 |
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In: Scientific Data, Vol. 9, No. 1, 454, 30.07.2022.
Research output: Contribution to journal › Article › Research › peer-review
TY - JOUR
T1 - ISARIC-COVID-19 dataset
T2 - A Prospective, Standardized, Global Dataset of Patients Hospitalized with COVID-19
AU - Garcia-Gallo, Esteban
AU - Merson, Laura
AU - Kennon, Kalynn
AU - Kelly, Sadie
AU - Citarella, Barbara Wanjiru
AU - Fryer, Daniel Vidali
AU - Shrapnel, Sally
AU - Lee, James
AU - Duque, Sara
AU - Fuentes, Yuli V.
AU - Balan, Valeria
AU - Smith, Sue
AU - Wei, Jia
AU - Gonçalves, Bronner P.
AU - Russell, Clark D.
AU - Sigfrid, Louise
AU - Dagens, Andrew
AU - Olliaro, Piero L.
AU - Baruch, Joaquín
AU - Kartsonaki, Christiana
AU - Dunning, Jake
AU - Rojek, Amanda
AU - Rashan, Aasiyah
AU - Beane, Abigail
AU - Murthy, Srinivas
AU - Reyes, Luis Felipe
AU - Abbas, Ali
AU - Abdukahil, Sheryl Ann
AU - Abdulkadir, Nurul Najmee
AU - Abe, Ryuzo
AU - Abel, Laurent
AU - Absil, Lara
AU - Jabal, Kamal Abu
AU - Zayyad, Hiba Abu
AU - Acharya, Subhash
AU - Acker, Andrew
AU - Adachi, Shingo
AU - Adam, Elisabeth
AU - Adriano, Enrico
AU - Adrião, Diana
AU - Ageel, Saleh Al
AU - Ahmed, Shakeel
AU - Aiello, Marina
AU - Ainscough, Kate
AU - Airlangga, Eka
AU - Aisa, Tharwat
AU - Hssain, Ali Ait
AU - Tamlihat, Younes Ait
AU - Akimoto, Takako
AU - Akmal, Ernita
AU - Qasim, Eman Al
AU - Al-Dabbous, Tala
AU - Al-Fares, Abdulrahman
AU - Alalqam, Razi
AU - Alberti, Angela
AU - Alegesan, Senthilkumar
AU - Alegre, Cynthia
AU - Alessi, Marta
AU - Alex, Beatrice
AU - Alexandre, Kévin
AU - Alfoudri, Huda
AU - Ali, Adam
AU - Ali, Imran
AU - Shah, Naseem Ali
AU - Sheikh, Naseem Ali
AU - Alidjnou, Kazali Enagnon
AU - Aliudin, Jeffrey
AU - Alkhafajee, Qabas
AU - Allavena, Clotilde
AU - Allou, Nathalie
AU - Altaf, Aneela
AU - Alves, João
AU - Alves, João Melo
AU - Alves, Rita
AU - Amaral, Maria
AU - Amira, Nur
AU - Ammerlaan, Heidi
AU - Ampaw, Phoebe
AU - Andini, Roberto
AU - Andrejak, Claire
AU - Angheben, Andrea
AU - Angoulvant, François
AU - Ansart, Séverine
AU - Anthonidass, Sivanesen
AU - Antonelli, Massimo
AU - Antunes de Brito, Carlos Alexandre
AU - Anwar, Kazi Rubayet
AU - Apriyana, Ardiyan
AU - Arabi, Yaseen
AU - Aragao, Irene
AU - Arancibia, Francisco
AU - Araujo, Carolline
AU - Arcadipane, Antonio
AU - Archambault, Patrick
AU - Arenz, Lukas
AU - Arlet, Jean Benoît
AU - Arnold-Day, Christel
AU - Aroca, Ana
AU - Arora, Lovkesh
AU - Arora, Rakesh
AU - Artaud-Macari, Elise
AU - Aryal, Diptesh
AU - Asaki, Motohiro
AU - Asensio, Angel
AU - Ashley, Elizabeth
AU - Ashraf, Muhammad
AU - Asif, Namra
AU - Asim, Mohammad
AU - Assie, Jean Baptiste
AU - Asyraf, Amirul
AU - Atique, Anika
AU - Lakshan Attanyake, A. M.Udara
AU - Auchabie, Johann
AU - Aumaitre, Hugues
AU - Auvet, Adrien
AU - Axelsen, Eyvind W.
AU - Azemar, Laurène
AU - Azoulay, Cecile
AU - Bach, Benjamin
AU - Bachelet, Delphine
AU - Badr, Claudine
AU - Bævre-Jensen, Roar
AU - Baig, Nadia
AU - Baillie, J. Kenneth
AU - Baird, J. Kevin
AU - Bak, Erica
AU - Bakakos, Agamemnon
AU - Bakar, Nazreen Abu
AU - Bal, Andriy
AU - Balakrishnan, Mohanaprasanth
AU - Bani-Sadr, Firouzé
AU - Barbalho, Renata
AU - Barbosa, Nicholas Yuri
AU - Barclay, Wendy S.
AU - Barnett, Saef Umar
AU - Barnikel, Michaela
AU - Barrasa, Helena
AU - Barrelet, Audrey
AU - Barrigoto, Cleide
AU - Bartoli, Marie
AU - Bartone, Cheryl
AU - Baruch, Joaquín
AU - Bashir, Mustehan
AU - Basmaci, Romain
AU - Basri, Muhammad Fadhli Hassin
AU - Battaglini, Denise
AU - Bauer, Jules
AU - Bautista Rincon, Diego Fernando
AU - Dow, Denisse Bazan
AU - Beane, Abigail
AU - Bedossa, Alexandra
AU - Bee, Ker Hong
AU - Begum, Husna
AU - Behilill, Sylvie
AU - Beiruti, Karine
AU - Beishuizen, Albertus
AU - Beljantsev, Aleksandr
AU - Bellemare, David
AU - Beltrame, Anna
AU - Beltrão, Beatriz Amorim
AU - Beluze, Marine
AU - Benech, Nicolas
AU - Benjiman, Lionel Eric
AU - Benkerrou, Dehbia
AU - Bennett, Suzanne
AU - Bento, Luís
AU - Berdal, Jan Erik
AU - Bergeaud, Delphine
AU - Bergin, Hazel
AU - Sobrino, José Luis Bernal
AU - Bertoli, Giulia
AU - Bertolino, Lorenzo
AU - Bessis, Simon
AU - Betz, Adam
AU - Bevilcaqua, Sybille
AU - Bezulier, Karine
AU - Bhatt, Amar
AU - Bhavsar, Krishna
AU - Bianchi, Isabella
AU - Bianco, Claudia
AU - Bidin, Farah Nadiah
AU - Singh, Moirangthem Bikram
AU - Humaid, Felwa Bin
AU - Kamarudin, Mohd Nazlin Bin
AU - Bissuel, François
AU - Biston, Patrick
AU - Bitker, Laurent
AU - Bitton, Jonathan
AU - Blanco-Schweizer, Pablo
AU - Blier, Catherine
AU - Bloos, Frank
AU - Blot, Mathieu
AU - Blumberg, Lucille
AU - Boccia, Filomena
AU - Bodenes, Laetitia
AU - Bogaarts, Alice
AU - Bogaert, Debby
AU - Boivin, Anne Hélène
AU - Bolze, Pierre Adrien
AU - Bompart, François
AU - Bonelli, Patrizia
AU - Bonfasius, Aurelius
AU - Borges, Diogo
AU - Borie, Raphaël
AU - Bosse, Hans Martin
AU - Botelho-Nevers, Elisabeth
AU - Bouadma, Lila
AU - Bouchaud, Olivier
AU - Bouchez, Sabelline
AU - Bouhmani, Dounia
AU - Bouhour, Damien
AU - Bouiller, Kévin
AU - Bouillet, Laurence
AU - Bouisse, Camile
AU - Bounphiengsy, Thipsavanh
AU - Bountthasavong, Latsaniphone
AU - Boureau, Anne Sophie
AU - Bourke, John
AU - Bouscambert, Maude
AU - Bousquet, Aurore
AU - Bouziotis, Jason
AU - Boxma, Bianca
AU - Boyer-Besseyre, Marielle
AU - Boylan, Maria
AU - Bozza, Fernando Augusto
AU - Braconnier, Axelle
AU - Braga, Cynthia
AU - Brandenburger, Timo
AU - Monteiro, Filipa Brás
AU - Brazzi, Luca
AU - Breen, Dorothy
AU - Breen, Patrick
AU - Brickell, Kathy
AU - Browne, Alex
AU - Browne, Shaunagh
AU - Brozzi, Nicolas
AU - Brunvoll, Sonja Hjellegjerde
AU - Brusse-Keizer, Marjolein
AU - Buchtele, Nina
AU - Buesaquillo, Christian
AU - Bugaeva, Polina
AU - Burrell, Aidan
AU - French, Craig
AU - McArthur, Colin
AU - Nichol, Alistair
AU - Parke, Rachael
AU - Neto, Ary Serpa
AU - Trapani, Tony
AU - Udy, Andrew
AU - Webb, Steve
AU - ISARIC Clinical Characterisation Group
N1 - Funding Information: The investigators acknowledge: This work is part of the Grand Challenges ICODA pilot initiative, delivered by Health Data Research UK and funded by the Bill & Melinda Gates Foundation and the Minderoo Foundation. The philanthropic support of the donors to the University of Oxford’s COVID-19 Research Response Fund; UK Foreign, Commonwealth and Development Office and Wellcome [215091/Z/18/Z and 220757/Z/20/Z]; the Bill & Melinda Gates Foundation [OPP1209135]; the National Institute for Health Research (NIHR; award COCIN-01); the Medical Research Council (MRC; grant MC_PC_19059); the NIHR Health Protection Research Unit (HPRU) in Emerging and Zoonotic Infections at University of Liverpool in partnership with Public Health England (PHE)(award 200907); NIHR HPRU in Respiratory Infections at Imperial College London with PHE (award 200927); Liverpool Experimental Cancer Medicine Centre (grant C18616/A25153); NIHR Biomedical Research Centre at Imperial College London (award IS-BRC-1215-20013); NIHR Clinical Research Network (infrastructure support); CIHR Coronavirus Rapid Research Funding Opportunity OV2170359 and was coordinated out of Sunnybrook Research Institute; the endorsement of the Irish Critical Care-Clinical Trials Group, co-ordinated in Ireland by the Irish Critical Care-Clinical Trials Network at University College Dublin and funded by the Health Research Board of Ireland [CTN-2014-12]; Rapid European COVID-19 Emergency Response research (RECOVER) [H2020 project 101003589]; European Clinical Research Alliance on Infectious Diseases (ECRAID) [965313]; COVID clinical management team, AIIMS, Rishikesh, India; Cambridge NIHR Biomedical Research Centre; the dedication and hard work of the Groote Schuur Hospital Covid ICU Team; the Groote Schuur nursing and University of Cape Town registrar bodies coordinated by the Division of Critical Care at the University of Cape Town; Wellcome Trust fellowship [205228/Z/16/Z]; the Liverpool School of Tropical Medicine; the University of Oxford; the dedication and hard work of the Norwegian SARS-CoV-2 study team; the Research Council of Norway grant no 312780; a philanthropic donation from Vivaldi Invest A/S owned by Jon Stephenson von Tetzchner; Innovative Medicines Initiative Joint Undertaking under Grant Agreement No. 115523 COMBACTE, resources of which are composed of financial contribution from the European Union’s Seventh Framework Programme (FP7/2007–2013) and EFPIA companies, in-kind contribution; preparedness work conducted by the Short Period Incidence Study of Severe Acute Respiratory Infection; Stiftungsfonds zur Förderung der Bekämpfung der Tuberkulose und anderer Lungenkrankheiten of the City of Vienna, Project Number: APCOV22BGM; Italian Ministry of Health “Fondi Ricerca corrente–L1P6” to IRCCS Ospedale Sacro Cuore–Don Calabria; Australian Department of Health grant (3273191); Gender Equity Strategic Fund at University of Queensland; Artificial Intelligence for Pandemics (A14PAN) at University of Queensland; the Australian Research Council Centre of Excellence for Engineered Quantum Systems (EQUS, CE170100009); the Prince Charles Hospital Foundation, Australia; UK Medical Research Council Clinical Research Training Fellowship MR/V001671/1; Instituto de Salud Carlos III, Ministerio de Ciencia, Spain; Brazil, National Council for Scientific and Technological Development Scholarship number 303953/2018-7; Firland Foundation, Shoreline, Washington, USA; the French COVID cohort (NCT04262921) is sponsored by INSERM and is funding by the REACTing (REsearch & ACtion emergING infectious diseases) consortium and by a grant of the French Ministry of Health (PHRC n°20-0424). This work uses Data/Material provided by patients and collected by the NHS as part of their care and support #DataSavesLives. The Data/materials used for this research were obtained from ISARIC4C. ISARIC4C Investigators collated the COVID-19 Clinical Information Network (CO-CIN) data. Publisher Copyright: © The Author(s) 2022.
PY - 2022/7/30
Y1 - 2022/7/30
N2 - 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.
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.
UR - http://www.scopus.com/inward/record.url?scp=85135223433&partnerID=8YFLogxK
U2 - 10.1038/s41597-022-01534-9
DO - 10.1038/s41597-022-01534-9
M3 - Article
C2 - 35908040
AN - SCOPUS:85135223433
SN - 2052-4463
VL - 9
JO - Scientific Data
JF - Scientific Data
IS - 1
M1 - 454
ER -