About: Understanding COVID-19 diffusion requires an interdisciplinary, multi-dimensional approach

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

About: Understanding COVID-19 diffusion requires an interdisciplinary, multi-dimensional approach 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	Understanding COVID-19 diffusion requires an interdisciplinary, multi-dimensional approach
Creator	Bontempi, Elza Squazzoni, Flaminio Vergalli, Sergio
Source	Elsevier; Medline; PMC
abstract	After COVID-19 initial diffusion in Europe in March 2020, research has suggested a direct correlation between environmental pollution and contagion dynamics (i.e., environment-to-human pollution), thereby indicating that mechanisms other than human-to-human transmission can explain COVID-19 diffusion. However, these studies did not consider that complex outcomes, such as a pandemic's diffusion patterns, are typically caused by a multiplicity of environmental, economic and social factors. While disciplinary specialties increase scholars' attitudes of concentrating on specific factors, neglecting this multiplicity during a pandemic crisis can lead to misleading conclusions. This communication aims to focus on certain limitations of current research about environmental-to-human COVID-19 transmission and shows the benefit of an interdisciplinary, multi-dimensional approach to understand the geographical diversity of contagion diffusion patterns.
has issue date	2020-06-11(xsd:dateTime)
bibo:doi	10.1016/j.envres.2020.109814
bibo:pmid	32544726
has license	no-cc
sha1sum (hex)	80e3294f4cc11380f1ff60fae1b9cc21f741b460
schema:url	https://doi.org/10.1016/j.envres.2020.109814
resource representing a document's title	Understanding COVID-19 diffusion requires an interdisciplinary, multi-dimensional approach
has PubMed Central identifier	PMC7289085
has PubMed identifier	32544726
schema:publication	Environ Res
resource representing a document's body	covid:80e3294f4cc11380f1ff60fae1b9cc21f741b460#body_text
is schema:about of	named entity 'transmission' named entity 'concentrating' named entity 'aims' named entity 'contagion' named entity 'initial' named entity 'diffusion' named entity 'current' named entity 'multiplicity' named entity 'communication' named entity 'multiplicity' named entity 'mechanisms' named entity 'COVID-19' named entity 'current research' named entity 'COVID-19' named entity 'diffusion' named entity 'COVID-19' named entity 'United Kingdom' named entity 'COVID-19' named entity 'Lombardy' named entity 'India' named entity 'Spain' named entity 'non-linear' named entity 'Piemonte' named entity 'environmental factors' named entity 'China' named entity 'air quality' named entity 'Ireland' named entity 'Europe' named entity 'Italy' named entity 'interdisciplinary' named entity 'logarithm' named entity 'Italy' named entity 'air pollution' named entity 'path dependent' named entity 'social distancing' named entity 'China' named entity 'virus' named entity 'pneumonia' named entity 'population density' named entity 'Italian' named entity 'PM2.5' named entity 'Europe' named entity 'Europe' named entity 'Northern Italy' named entity 'virus' named entity 'confounding' named entity 'social interaction' named entity 'logarithm' named entity 'PM2.5' named entity 'World Development Indicators' named entity 'transdisciplinary' named entity 'infection' named entity 'COVID-19' named entity 'Piedmont' named entity 'contagions' named entity 'Africa' named entity 'COVID-19' named entity 'international trade' named entity 'United Kingdom' named entity 'Rio de Janeiro' named entity 'virus' named entity 'China' named entity 'logarithm' named entity 'polluted air' named entity 'infection' named entity 'virus' named entity 'COVID-19' named entity 'COVID-19' named entity 'complex adaptive systems' named entity 'social interaction' named entity 'non-linear' named entity 'path dependent' named entity 'COVID-19' named entity 'population density' named entity 'Europe' named entity 'COVID-19' named entity 'interdisciplinary' named entity 'COVID-19' named entity 'pneumonia'

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 © 2009-2024 OpenLink Software