Description
Metadata
Settings
About:
Background: The novelty of the Covid-19 pandemic is reflected in the lack of literature available for the impact of smoking on the intensity of the COVID-19 clinical manifestations. Our study tries to address this gap. Method: Six cohorts from China were analysed and a crude odds ratio was manually calculated. Results: Patients with a smoking history were approximately 2 times (95% CI= 1.036-1.883) as likely to suffer from severe clinical manifestations of COVID-19 compared to patients without a smoking history. A higher percentage of males suffer more severe symptoms of COVID-19 in comparison to females, but this could be associated with the gender specific smoking trends observed in China. Conclusion: The gender specific smoking trends could be associated with the increased severity of COVID-19 disease manifestations in the male population.
Permalink
an Entity references as follows:
Subject of Sentences In Document
Object of Sentences In Document
Explicit Coreferences
Implicit Coreferences
Graph IRI
Count
http://ns.inria.fr/covid19/graph/entityfishing
4
http://ns.inria.fr/covid19/graph/articles
3
Faceted Search & Find service v1.13.91
Alternative Linked Data Documents:
Sponger
|
ODE
Raw Data in:
CXML
|
CSV
| RDF (
N-Triples
N3/Turtle
JSON
XML
) | OData (
Atom
JSON
) | Microdata (
JSON
HTML
) |
JSON-LD
About
This work is licensed under a
Creative Commons Attribution-Share Alike 3.0 Unported License
.
OpenLink Virtuoso
version 07.20.3229 as of Jul 10 2020, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (94 GB total memory)
Copyright © 2009-2025 OpenLink Software