Facets (new session)
Description
Metadata
Settings
owl:sameAs
Inference Rule:
b3s
b3sifp
dbprdf-label
facets
http://dbpedia.org/resource/inference/rules/dbpedia#
http://dbpedia.org/resource/inference/rules/opencyc#
http://dbpedia.org/resource/inference/rules/umbel#
http://dbpedia.org/resource/inference/rules/yago#
http://dbpedia.org/schema/property_rules#
http://www.ontologyportal.org/inference/rules/SUMO#
http://www.ontologyportal.org/inference/rules/WordNet#
http://www.w3.org/2002/07/owl#
ldp
oplweb
skos-trans
virtrdf-label
None
About:
Age Matters: COVID-19 Prevalence in a Vaping Adolescent Population - An Observational Study
Goto
Sponge
NotDistinct
Permalink
An Entity of Type :
schema:ScholarlyArticle
, within Data Space :
covidontheweb.inria.fr
associated with source
document(s)
Type:
Academic Article
research paper
schema:ScholarlyArticle
New Facet based on Instances of this Class
Attributes
Values
type
Academic Article
research paper
schema:ScholarlyArticle
isDefinedBy
Covid-on-the-Web dataset
has title
Age Matters: COVID-19 Prevalence in a Vaping Adolescent Population - An Observational Study
Creator
Al-Akchar, Mohammad
Bhattarai, Mukul
Estefania, Odalys
Garcia, Lara
Ibrahim, Abdisamad
Koester, Cameron
Kulkarni, Abhishek
Maini, Ruby
Parajuli, Priyanka
Regmi, Rani
Robinson, Robert
Tandan, Nitin
Source
MedRxiv
abstract
Background: Currently, there is limited or no data demonstrating that vaping is associated with increased transmission or prevalence of coronavirus disease-2019 (COVID-19). Our study aims to investigate the relationship of vaping with the prevalence of COVID-19 infection across the United States and in the District of Columbia. Methods: COVID-19 case counts by state and the District of Columbia were obtained via the Worldometers website on 04/30/2020. Prevalence of COVID-19 cases per 100,000 residents were calculated using estimated 2019 population data from the US Census Department. Age ranges analyzed were: high school age children, Ages 18-24, Ages 25-44, and Ages 45-65. Spearman correlation analysis was conducted to determine if the rate of vaping was correlated with a higher prevalence of COVID-19 cases per 100,000 population. Findings: The Spearman correlation analysis demonstrated that persons vaping between 18 years and 24 years of age had a correlation coefficient of 0.278 with prevalence of COVID-19 infection (p=0.048). Vaping high school students had a correlation coefficient of 0.153 with prevalence of COVID-19 (p=0.328). Persons vaping in the age group 25-45 years had a correlation coefficient of 0.101 in association to COVID-19 prevalence (p=0.478). And finally, persons vaping between the age 45-65 years old had a correlation coefficient 0.130 with respect to COVID-19 prevalence (p=0.364). Interpretation: Increased COVID-19 prevalence is associated with vaping in the adolescent population between ages 18 and 24. Further prospective studies need to be performed in order investigate the severity of outcomes of vaping in association with COVID-19 infection. Funding: Nothing to disclose.
has issue date
2020-07-04
(
xsd:dateTime
)
bibo:doi
10.1101/2020.07.03.20146035
has license
medrxiv
sha1sum (hex)
2cc5553dafc5f90dcd39cfa738e190b19bf9fc2b
schema:url
https://doi.org/10.1101/2020.07.03.20146035
resource representing a document's title
Age Matters: COVID-19 Prevalence in a Vaping Adolescent Population - An Observational Study
resource representing a document's body
covid:2cc5553dafc5f90dcd39cfa738e190b19bf9fc2b#body_text
is
schema:about
of
named entity 'Prevalence'
named entity 'Prevalence'
named entity 'morbidity'
named entity 'physical distancing'
named entity 'Diabetes mellitus'
named entity 'nicotine'
named entity 'Southern Illinois University School of Medicine'
named entity 'electronic cigarette'
named entity 'CC-BY-NC-ND 4.0'
named entity 'preprint'
named entity 'passive smoking'
named entity 'Oregon'
named entity 'electronic cigarette'
named entity 'COVID'
named entity 'virus'
named entity 'Minnesota'
named entity 'comorbidities'
named entity 'COVID-19'
named entity 'COVID'
named entity 'Department of Internal Medicine'
named entity 'COVID'
named entity 'Coronaviruses'
named entity 'July 4'
named entity 'Vaping'
named entity 'Funding Source'
named entity 'public domain'
named entity 'COVID'
named entity 'preprint'
named entity 'vaping'
named entity 'Death rates'
named entity 'vaping'
named entity 'Vaping'
named entity 'observational study'
named entity 'vaping'
named entity 'vaping'
named entity '100 meters'
named entity 'preprint'
named entity 'severe acute respiratory syndrome coronavirus'
named entity 'statistically significant'
named entity 'medRxiv'
named entity 'infection'
named entity 'COVID-19'
named entity 'SARS-CoV-2'
named entity 'preprint'
named entity 'COVID'
named entity 'COVID'
named entity 'coronavirus'
named entity 'preprint'
named entity 'vaping'
named entity 'United States'
named entity 'aerosols'
named entity 'preprint'
named entity 'preprint'
named entity 'COVID'
named entity 'medRxiv'
named entity 'vaping'
named entity 'vaping'
named entity 'coronavirus disease 2019'
named entity 'electronic cigarettes'
named entity 'preprint'
named entity 'chronic medical conditions'
named entity 'preprint'
named entity 'death rate'
named entity 'Spearman correlation'
named entity 'SPSS'
named entity 'vaping'
named entity 'Wuhan'
named entity 'preprint'
named entity 'observational study'
named entity 'particulate material'
named entity 'preprint'
named entity 'MERS-CoV'
named entity 'death rate'
named entity 'SARS-CoV'
◂◂ First
◂ Prev
Next ▸
Last ▸▸
Page 1 of 3
Go
Faceted Search & Find service v1.13.91 as of Mar 24 2020
Alternative Linked Data Documents:
Sponger
|
ODE
Content Formats:
RDF
ODATA
Microdata
About
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)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2025 OpenLink Software