About: A Spatio‐Temporal Analysis of the Environmental Correlates of COVID‐19 Incidence in Spain

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About: A Spatio‐Temporal Analysis of the Environmental Correlates of COVID‐19 Incidence in Spain 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	A Spatio‐Temporal Analysis of the Environmental Correlates of COVID‐19 Incidence in Spain
Creator	Cavalcanti, Renata Galdino Da, Maira Lopez, Fernando Menezes, Tatiane Paez, Antonio Pitta, Rocha
topic	covid:e43b83145965fdbfbf35d7f41e608935250da52d#this
Source	Medline; PMC
abstract	The novel SARS‐CoV2 has disrupted health systems and the economy, and public health interventions to slow its spread have been costly. How and when to ease restrictions to movement hinges in part on whether SARS‐CoV2 will display seasonality due to variations in temperature, humidity, and hours of sunshine. Here, we address this question by means of a spatio‐temporal analysis in Spain of the incidence of COVID‐19, the disease caused by the virus. Use of spatial Seemingly Unrelated Regressions (SUR) allows us to model the incidence of reported cases of the disease per 100,000 population as an interregional contagion process, in addition to a function of temperature, humidity, and sunshine. In the analysis we also control for GDP per capita, percentage of older adults in the population, population density, and presence of mass transit systems. The results support the hypothesis that incidence of the disease is lower at higher temperatures and higher levels of humidity. Sunshine, in contrast, displays a positive association with incidence of the disease. Our control variables also yield interesting insights. Higher incidence is associated with higher GDP per capita and presence of mass transit systems in the province; in contrast, population density and percentage of older adults display negative associations with incidence of COVID‐19.
has issue date	2020-06-08(xsd:dateTime)
bibo:doi	10.1111/gean.12241
bibo:pmid	32836331
has license	no-cc
sha1sum (hex)	e43b83145965fdbfbf35d7f41e608935250da52d
schema:url	https://doi.org/10.1111/gean.12241
resource representing a document's title	A Spatio‐Temporal Analysis of the Environmental Correlates of COVID‐19 Incidence in Spain
has PubMed Central identifier	PMC7300768
has PubMed identifier	32836331
schema:publication	Geogr Anal
resource representing a document's body	covid:e43b83145965fdbfbf35d7f41e608935250da52d#body_text
is http://vocab.deri.ie/void#inDataset of	proxy:http/ns.inria.fr/covid19/e43b83145965fdbfbf35d7f41e608935250da52d
is schema:about of	named entity 'control' named entity 'associations' named entity 'sunshine' named entity 'costly' named entity 'humidity' named entity 'public health' named entity 'caused' named entity 'temperatures' named entity 'slow' named entity 'hinges' named entity 'control variables' named entity 'incidence' named entity 'contagion' named entity 'population density' named entity 'insights' named entity 'addition' named entity 'Spain' named entity 'SUR' named entity 'health systems' named entity 'SARS-CoV2' named entity 'Spain' named entity 'public health' named entity 'humidity' named entity 'Seemingly Unrelated Regressions' named entity 'GDP per capita' named entity 'Spain' named entity 'Gipuzkoa' named entity 'Figure 8' named entity 'April 11' named entity 'SUR' named entity 'Principado de Asturias' named entity 'descriptive statistics' named entity 'evolution' named entity 'COVID-19' named entity 'COVID-19' named entity 'SUR' named entity 'Population density' named entity 'confidence intervals' named entity 'partial derivatives' named entity 'Wald test' named entity 'SUR' named entity 'GDP per capita' named entity 'World Health Organization' named entity 'goodness-of-fit' named entity 'older adults' named entity 'SUR' named entity 'GDP per capita' named entity 'older adults' named entity 'ith' named entity 'INE' named entity 'explanatory variable' named entity 'Mur' named entity 'dependent variable' named entity 'older adults' named entity 'SARS-CoV2' named entity 'independent variables' named entity 'GDP per capita' named entity 'Pais Vasco' named entity 'China' named entity 'spatial autocorrelation' named entity 'San Sebastian' named entity 'log-normal distribution' named entity 'instrumental variables' named entity 'population density' named entity 'virus' named entity 'mortality rates' named entity 'population health' named entity 'relative humidity' named entity 'Autonomous Communities' named entity 'March 14' named entity 'COVID-19' named entity 'virus' named entity 'Toronto' named entity 'older adults'

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