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Spatiotemporal Dynamics of COVID-19 Infections in Mainland Portugal

dc.contributor.authorSilva, Melissa
dc.contributor.authorBetco, Iuria
dc.contributor.authorCapinha, César
dc.contributor.authorRoquette, Rita
dc.contributor.authorViana, Cláudia M.
dc.contributor.authorRocha, Jorge
dc.date.accessioned2022-08-31T14:13:40Z
dc.date.available2022-08-31T14:13:40Z
dc.date.issued2022
dc.description.abstractThe World Health Organization declared COVID-19 as a pandemic disease on 12 March 2020. Currently, this disease caused by the SARS-CoV-2 virus remains one of the biggest public health problems in the world. Thus, it is essential to apply methods that enable a better understanding of the virus diffusion processes, not only at the spatial level but also at the spatiotemporal one. To that end, we tried to understand the spatial distribution of COVID-19 pathology in continental Portugal at the municipal level and to comprehend how mobility influences transmission. We used autocorrelation indices such as Getis-Ord (with Euclidian distance and commuting values), Local Moran, and a new hybrid approach. Likewise, aiming to identify the spatiotemporal patterns of the virus propagation by using Man–Kendall statistics, we found that most hotspots of infected individuals occur in the municipalities of metropolitan areas. The spatiotemporal analysis identified most of the municipalities as oscillating hotspots.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationSilva, M., Betco, I., Capinha, C., Roquette, R., Viana, C. M. & Rocha, J. (2022). Spatiotemporal Dynamics of COVID-19 Infections in Mainland Portugal. Sustainability,14(16), 10370. http://dx.doi.org/10.3390/su141610370pt_PT
dc.identifier.doi10.3390/su141610370pt_PT
dc.identifier.eissn2071-1050
dc.identifier.urihttp://hdl.handle.net/10451/54254
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.relationTRIAD-Health Risk and Social Vulnerability to Arboviral Diseases in Mainland Portugal’ (PTDC/GES -OUT/30210/2017)pt_PT
dc.relationCentre of Geographical Studies
dc.relationCentre of Geographical Studies
dc.relationNot Available
dc.relation.publisherversionhttps://www.mdpi.com/2071-1050/14/16/10370pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectSARS-CoV-2pt_PT
dc.subjectSpatiotemporal analysispt_PT
dc.subjectHybrid approachpt_PT
dc.subjectMobilitypt_PT
dc.subjectMainland Portugalpt_PT
dc.titleSpatiotemporal Dynamics of COVID-19 Infections in Mainland Portugalpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleCentre of Geographical Studies
oaire.awardTitleCentre of Geographical Studies
oaire.awardTitleNot Available
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00295%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F00295%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/CEEC IND 2017/CEECIND%2F02037%2F2017%2FCP1405%2FCT0002/PT
oaire.citation.issue16pt_PT
oaire.citation.startPage10370pt_PT
oaire.citation.titleSustainabilitypt_PT
oaire.citation.volume14pt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStreamCEEC IND 2017
person.familyNameBetco
person.familyNameCapinha
person.familyNameM. Viana
person.familyNameRocha
person.givenNameIuria
person.givenNameCésar
person.givenNameCláudia
person.givenNameJorge
person.identifier0000000069085031
person.identifier.ciencia-id9818-6D59-0C7B
person.identifier.ciencia-id7714-2A88-CDE3
person.identifier.ciencia-id0712-B263-3133
person.identifier.ciencia-idEC15-76DC-9B96
person.identifier.orcid0000-0001-8714-686X
person.identifier.orcid0000-0002-0666-9755
person.identifier.orcid0000-0001-6858-4522
person.identifier.orcid0000-0002-7228-6330
person.identifier.ridK-6439-2017
person.identifier.ridA-9352-2019
person.identifier.ridF-3185-2017
person.identifier.scopus-author-id32867555000
person.identifier.scopus-author-id57200209862
person.identifier.scopus-author-id56428061000
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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