Explaining COVID-19 contagion in Portuguese municipalities using spatial autocorrelation models

dc.contributor.authorMourao, Paulopt_PT
dc.contributor.authorBento, Ricardo Jorge e Silvapt_PT
dc.date.accessioned2021-12-09T10:24:33Z
dc.date.available2021-12-09T10:24:33Z
dc.date.issued2021-04
dc.description.abstractThis paper investigates the pattern of COVID-19 contagion in Portuguese municipalities from March 23rd to April 5th (the exponential phase). We have recurred to spatial autocorrelation models to discuss how the conglomeration of highly infectious spaces has also contributed to infecting neighbouring municipalities. We have used several indicators for the contagion of COVID-19 from the number of infectious individuals to rates of infectious. As explicative variables, additionally to spatial proximity, we also considered population density, the share of the elderly population as well as the length of municipal perimeter/border. Our results show that highly dense municipalities tended to contaminate close areas. Lengthier perimeters also showed a positive effect on the contagious indicators for a given municipality.pt_PT
dc.identifier.issn2255-5951
dc.identifier.otherhttp://dx.doi.org/10.15304/rge.30.1.6984
dc.identifier.urihttp://hdl.handle.net/10348/10849
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.relation.ispartofCETRAD - Centro de Estudos Transdisciplinares para o Desenvolvimentopt_PT
dc.rightsrestricted accesspt_PT
dc.subjectCOVID-19pt_PT
dc.subjectPortugalpt_PT
dc.subjectSpatial contagionpt_PT
dc.subjectSpatial autocorrelationpt_PT
dc.titleExplaining COVID-19 contagion in Portuguese municipalities using spatial autocorrelation modelspt_PT
dc.typejournal articlept_PT
degois.publication.issue1pt_PT
degois.publication.titleRevista Galega De Economíapt_PT
degois.publication.volume30pt_PT
dspace.entity.typePublicationen
Ficheiros
Principais
A mostrar 1 - 1 de 1
Nome:
Mourao, Bento - 2021 - Explaining COVID-19 contagion in Portuguese municipalities using spatial autocorrelation models.pdf
Tamanho:
813.13 KB
Formato:
Adobe Portable Document Format
Descrição: