CORE
🇺🇦Â
 make metadata, not war
Services
Services overview
Explore all CORE services
Access to raw data
API
Dataset
FastSync
Content discovery
Recommender
Discovery
OAI identifiers
OAI Resolver
Managing content
Dashboard
Bespoke contracts
Consultancy services
Support us
Support us
Membership
Sponsorship
Community governance
Advisory Board
Board of supporters
Research network
About
About us
Our mission
Team
Blog
FAQs
Contact us
Characteristics and predictors of Long COVID among diagnosed cases of COVID-19
Authors
Alekhya G (14207853)
Arvind Singh (14207708)
+8Â more
Baijayantimala Mishra (14207864)
Binod Kumar Patro (10001026)
Debkumar Pal (14207825)
Kajal Das (14207849)
M.C. Arjun (14207824)
Mahalingam Venkateshan (14207855)
Prasanta Raghab Mohapatra (10001053)
Sonu Hangma Subba (14207867)
Publication date
2 December 2022
Publisher
Doi
Cite
Abstract
A cohort study from a tertiary care hospital of Eastern India, which captures the incidence, characteristics and predictor of Long COVID among diagnosed cases of COVID-19, during four weeks and six months of follow-up.</p
Similar works
Full text
Available Versions
FigShare
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:figshare.com:article/21665...
Last time updated on 04/12/2022