About: Determining the spatial effects of COVID-19 using the spatial panel data model

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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
title	Determining the spatial effects of COVID-19 using the spatial panel data model
Creator	Guliyev, Hasraddin
source	Elsevier; Medline; PMC
abstract	This study investigates the propagation power and effects of the coronavirus disease 2019 (COVID-19) in light of published data. We examine the factors affecting COVID-19 together with the spatial effects, and use spatial panel data models to determine the relationship among the variables including their spatial effects. Using spatial panel models, we analyse the relationship between confirmed cases of COVID-19, deaths thereof, and recovered cases due to treatment. We accordingly determine and include the spatial effects in this examination after establishing the appropriate model for COVID-19. The most efficient and consistent model is interpreted with direct and indirect spatial effects.
has issue date	2020-04-07(xsd:dateTime)
bibo:doi	10.1016/j.spasta.2020.100443
bibo:pmid	32292691
has license	no-cc
sha1sum (hex)	ae9111e1c7bfc384004b6be1c0248b71c3af064e
schema:url	https://doi.org/10.1016/j.spasta.2020.100443
resource representing a document's title	Determining the spatial effects of COVID-19 using the spatial panel data model
has PubMed Central identifier	PMC7139267
has PubMed identifier	32292691
schema:publication	Spat Stat
resource representing a document's body	covid:ae9111e1c7bfc384004b6be1c0248b71c3af064e#body_text
is schema:about of	named entity 'spatial' named entity 'COVID-19' named entity 'INDIRECT' named entity 'EFFICIENT' named entity 'SPATIAL' named entity 'RECOVERED' named entity 'AFFECTING' named entity 'CONSISTENT' named entity 'PANEL' named entity 'INVESTIGATES' named entity 'DIRECT' named entity 'USING' named entity 'PANEL' named entity 'CORONAVIRUS DISEASE 2019' named entity 'RELATIONSHIP' named entity 'INCLUDING' named entity 'DUE TO' named entity 'USING' named entity 'MODELS' named entity 'ESTABLISHING' named entity 'DETERMINE' named entity 'CONFIRMED' named entity 'COVID-19' named entity 'INCLUDE' named entity 'DATA' named entity 'COVID-19' named entity 'EFFECTS' named entity 'APPROPRIATE' named entity 'CASES' named entity 'MODEL' named entity 'LIGHT' named entity 'SPATIAL' named entity 'USE' named entity 'PROPAGATION' named entity 'EFFECTS' named entity 'EXAMINATION' named entity 'DATA MODEL' named entity 'PUBLISHED' named entity 'STUDY' named entity 'INTERPRETED' named entity 'THEIR' named entity 'VARIABLES' named entity 'POWER' named entity 'TREATMENT' named entity 'DEATHS' named entity 'propagation' named entity 'spatial' named entity 'coronavirus disease 2019' named entity 'COVID' named entity 'spatial effects' named entity 'panel data models' named entity 'confirmed cases' named entity 'spatial effects' named entity 'COVID-19' named entity 'quasi-maximum likelihood' named entity 'panel data models' named entity 'COVID-19' named entity 'COVID-19' named entity 'Ningxia' named entity 'standard linear regression model' named entity 'panel data' named entity 'molecular diagnostics' named entity 'COVID-19' named entity 'Stata' named entity 'panel data models' named entity 'statistical significance' named entity 'panel data models' named entity 'dependent variable' named entity 'panel data' named entity 'dependent variable' named entity 'COVID-19' named entity 'fixed effects model' named entity 'Hubei' named entity 'statistically significant' named entity 'panel data' named entity 'spatial dependence' named entity 'independent and identically distributed' named entity 'independent variables' named entity 'Hubei' named entity 'COVID-19 testing' named entity 'SLMs'

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