About: Ambient air pollution, meteorology, and COVID‐19 infection in Korea

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Ambient air pollution, meteorology, and COVID‐19 infection in Korea 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
title	Ambient air pollution, meteorology, and COVID‐19 infection in Korea
Creator	Tran, Anh Hoang, Tung Thi, Anh Tran, Correspondence, Tho Thi, Tho
source	Medline; PMC
abstract	The outbreak of novel pneumonia coronavirus disease has become a public health concern worldwide. Here, for the first time, the association between Korean meteorological factors and air pollutants and the COVID‐19 infection was investigated. Data of air pollutants, meteorological factors, and daily COVID‐19 confirmed cases of seven metropolitan cities and nine provinces were obtained from 3 February 2020 to 5 May 2020 during the first wave of pandemic across Korea. We applied the generalized additive model to investigate the temporal relationship. There was a significantly nonlinear association between daily temperature and COVID‐19 confirmed cases. Each 1°C increase in temperature was associated with 9% (lag 0‐14; OR = 1.09; 95% CI = 1.03‐1.15) increase of COVID‐19 confirmed cases when the temperature was below 8°C. A 0.01 ppm increase in NO(2) (lag 0‐7, lag 0.14, and lag 0‐21) was significantly associated with increases of COVID‐19 confirmed cases, with ORs (95% CIs) of 1.13 (1.02‐1.25), 1.19 (1.09‐1.30), and 1.30 (1.19‐1.41), respectively. A 0.1 ppm increase in CO (lag 0‐21) was associated with the increase in COVID‐19 confirmed cases (OR = 1.10, 95% CI = 1.04‐1.16). There was a positive association between per 0.001 ppm of SO(2) concentration (lag 0, lag 0‐7, and lag 0‐14) and COVID‐19 confirmed cases, with ORs (95% CIs) of 1.13 (1.04‐1.22), 1.20 (1.11‐1.31), and 1.15 (1.07‐1.25), respectively. There were significantly temporal associations between temperature, NO(2), CO, and SO(2) concentrations and daily COVID‐19 confirmed cases in Korea.
has issue date	2020-07-27(xsd:dateTime)
bibo:doi	10.1002/jmv.26325
bibo:pmid	32691877
has license	no-cc
sha1sum (hex)	7bad423a0357aa3d7ab45307946416fd7c17760f
schema:url	https://doi.org/10.1002/jmv.26325
resource representing a document's title	Ambient air pollution, meteorology, and COVID‐19 infection in Korea
has PubMed Central identifier	PMC7405165
has PubMed identifier	32691877
schema:publication	J Med Virol
resource representing a document's body	covid:7bad423a0357aa3d7ab45307946416fd7c17760f#body_text
is schema:about of	named entity 'COVID-19' named entity 'COVID-19' named entity 'Korea' named entity 'provinces' named entity 'confirmed' named entity 'meteorological' named entity 'Ambient' named entity 'APPLIED' named entity 'PUBLIC HEALTH' named entity 'DATA' named entity 'OUTBREAK' named entity 'ASSOCIATION' named entity 'INCREASE' named entity 'ACROSS' named entity 'cases' named entity 'temperature' named entity 'wave' named entity '95% CI' named entity 'temperature' named entity 'positive' named entity 'investigate' named entity 'nonlinear' named entity 'Korea' named entity 'ppm' named entity 'Each' named entity 'time' named entity 'cases' named entity '95% CI' named entity 'Korea' named entity '95%' named entity 'Korea' named entity 'generalized additive model' named entity '1.03' named entity 'COVID-19' named entity 'air pollutants' named entity 'COVID-19' named entity 'concern worldwide' named entity '1.04' named entity 'public health' named entity '1.04' named entity 'air pollution' named entity 'COVID' named entity 'COVID-19' named entity '95% CI' named entity 'GAM' named entity 'COVID' named entity 'meteorology' named entity 'incubation period' named entity 'COVID' named entity 'air quality' named entity 'PM 10' named entity 'Pearson correlation' named entity 'Air pollutants' named entity 'PM 2.5' named entity 'loci' named entity 'epidemiological' named entity 'carbon monoxide' named entity '21 days' named entity 'COVID' named entity 'Korea' named entity 'COVID' named entity 'COVID' named entity '1.06' named entity 'respiratory disease' named entity 'PCA' named entity 'air pollutants' named entity 'GAM' named entity 'air pollutants' named entity '95% CI' named entity 'air pollutants' named entity 'air pollutants' named entity 'Korea' named entity 'wind speed' named entity 'air pollutant' named entity 'infection' named entity 'China'

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