Attributes and predictors of long COVID.
Journal
Nature medicine
ISSN: 1546-170X
Titre abrégé: Nat Med
Pays: United States
ID NLM: 9502015
Informations de publication
Date de publication:
04 2021
04 2021
Historique:
received:
19
10
2020
accepted:
19
02
2021
pubmed:
12
3
2021
medline:
29
4
2021
entrez:
11
3
2021
Statut:
ppublish
Résumé
Reports of long-lasting coronavirus disease 2019 (COVID-19) symptoms, the so-called 'long COVID', are rising but little is known about prevalence, risk factors or whether it is possible to predict a protracted course early in the disease. We analyzed data from 4,182 incident cases of COVID-19 in which individuals self-reported their symptoms prospectively in the COVID Symptom Study app
Identifiants
pubmed: 33692530
doi: 10.1038/s41591-021-01292-y
pii: 10.1038/s41591-021-01292-y
pmc: PMC7611399
mid: EMS131037
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
626-631Subventions
Organisme : Wellcome Trust
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 203148
Pays : United Kingdom
Organisme : NIDDK NIH HHS
ID : K23 DK120899
Pays : United States
Organisme : Alzheimer's Society
ID : AS-JF-17-011
Pays : United Kingdom
Commentaires et corrections
Type : ErratumIn
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