About: The Ambient Ozone and COVID-19 Transmissibility in China: A Data-Driven Ecological Study of 154 Cities

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About: The Ambient Ozone and COVID-19 Transmissibility in China: A Data-Driven Ecological Study of 154 Cities Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	The Ambient Ozone and COVID-19 Transmissibility in China: A Data-Driven Ecological Study of 154 Cities
Creator	Yang, Lin He, Daihai Ran, Jinjun Zhao, Shi Wang, M Wang, Maggie Yang, Zuyao Chen, D Han, L Yang, Z Daihai, Han, Lefei Zhao, S Chen, Dieyi He, D
Source	Elsevier; Medline; PMC
abstract	• We quantified the COVID-19 transmissibility by the basic reproductive number. • The COVID-19 transmissibility could be negatively associated with ambient ozone. • The daily 1-h maximum ozone might cover 7.6% of the transmissibility variability. • It echoes a previous study of negative effects of ozone on the flu transmission. • The ground-level ozone may be a “double-edged sword” to public health.
has issue date	2020-07-08(xsd:dateTime)
bibo:doi	10.1016/j.jinf.2020.07.011
bibo:pmid	32652165
has license	no-cc
sha1sum (hex)	6e1cf9db0c111a3734db7056a753bfd82d81cc7c
schema:url	https://doi.org/10.1016/j.jinf.2020.07.011
resource representing a document's title	The Ambient Ozone and COVID-19 Transmissibility in China: A Data-Driven Ecological Study of 154 Cities
has PubMed Central identifier	PMC7342057
has PubMed identifier	32652165
schema:publication	J Infect
resource representing a document's body	covid:6e1cf9db0c111a3734db7056a753bfd82d81cc7c#body_text
is schema:about of	named entity 'China National Health Commission' named entity 'host defense' named entity 'transmissibility' named entity 'oxidant' named entity 'broadspectrum' named entity '95% CI' named entity 'COVID-19' named entity 'sterilization' named entity 'infectious disease epidemiology' named entity 'COVID-19' named entity 'Gamma distribution' named entity 'infectivity' named entity 'pollutant' named entity 'ozone' named entity 'COVID-19' named entity 'control strategies' named entity 'COVID-19' named entity 'ozone' named entity 'nonlinear' named entity 'CNHC' named entity 'COVID-19' named entity 'multivariable analysis' named entity 'air pollutants' named entity '5.5' named entity 'transmissibility' named entity 'Ozone' named entity 'kriging' named entity 'coronavirus disease 2019' named entity 'transmissibility' named entity 'basic reproduction number' named entity 'COVID-19' named entity 'influenza viruses' named entity 'trade-off' named entity 'SARS' named entity 'Northern hemisphere' named entity 'air pollutants' named entity 'public health' named entity 'perturbation analysis' named entity 'COVID-19' named entity 'ozone' named entity 'ozone' named entity 'ground-level ozone' named entity 'viral infection' named entity 'influenza' named entity 'correlation coefficient' named entity 'criteria pollutants' named entity 'R-squared' named entity 'demographic' named entity 'COVID-19' named entity 'allergic reactions' named entity 'ozone' named entity 'regression analyses' named entity 'transmissibility' named entity 'protective association' named entity 'COVID-19' named entity 'environmental factors' named entity 'statistical significance' named entity 'virucidal' named entity 'ozone' named entity 'critical role' named entity 'transmissibility' named entity 'COVID-19' named entity 'COVID-19 outbreak' named entity 'serial interval' named entity 'heterogeneities' named entity 'regression analysis' named entity 'absolute humidity'

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