About: Air Pollution Exposure and Covid-19 in Dutch Municipalities

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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	Air Pollution Exposure and Covid-19 in Dutch Municipalities
Creator	Uk, Cole, Matthew Cole, M Ozgen, Ceren Strobl, Eric
Source	Medline; PMC
abstract	In light of the existing preliminary evidence of a link between Covid-19 and poor air quality, which is largely based upon correlations, we estimate the relationship between long term air pollution exposure and Covid-19 in 355 municipalities in the Netherlands. Using detailed data we find compelling evidence of a positive relationship between air pollution, and particularly [Formula: see text] concentrations, and Covid-19 cases, hospital admissions and deaths. This relationship persists even after controlling for a wide range of explanatory variables. Our results indicate that, other things being equal, a municipality with 1 μg/m(3) more [Formula: see text] concentrations will have 9.4 more Covid-19 cases, 3.0 more hospital admissions, and 2.3 more deaths. This relationship between Covid-19 and air pollution withstands a number of sensitivity and robustness exercises including instrumenting pollution to mitigate potential endogeneity in the measurement of pollution and modelling spatial spillovers using spatial econometric techniques.
has issue date	2020-08-04(xsd:dateTime)
bibo:doi	10.1007/s10640-020-00491-4
bibo:pmid	32836849
has license	cc-by
sha1sum (hex)	0294d912c6bc581ebf8cafead77d950c9f953470
schema:url	https://doi.org/10.1007/s10640-020-00491-4
resource representing a document's title	Air Pollution Exposure and Covid-19 in Dutch Municipalities
has PubMed Central identifier	PMC7399597
has PubMed identifier	32836849
schema:publication	Environ Resour Econ (Dordr)
resource representing a document's body	covid:0294d912c6bc581ebf8cafead77d950c9f953470#body_text
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