Ontology highlight
ABSTRACT:
SUBMITTER: Tran VT
PROVIDER: S-EPMC8983754 | biostudies-literature | 2022 Apr
REPOSITORIES: biostudies-literature
Tran Viet-Thi VT Porcher Raphaël R Pane Isabelle I Ravaud Philippe P
Nature communications 20220405 1
About 10% of people infected by severe acute respiratory syndrome coronavirus 2 experience post COVID-19 disease. We analysed data from 968 adult patients (5350 person-months) with a confirmed infection enroled in the ComPaRe long COVID cohort, a disease prevalent prospective e-cohort of such patients in France. Day-by-day prevalence of post COVID-19 symptoms was determined from patients' responses to the Long COVID Symptom Tool, a validated self-reported questionnaire assessing 53 symptoms. Amo ...[more]