Please use this identifier to cite or link to this item: http://hdl.handle.net/10316/93426
DC FieldValueLanguage
dc.contributor.authorTamagusko-
dc.contributor.authorFerreira, Adelino-
dc.date.accessioned2021-03-13T18:43:13Z-
dc.date.available2021-03-13T18:43:13Z-
dc.date.issued2020-07-02-
dc.identifier.issn2071-1050-
dc.identifier.urihttp://hdl.handle.net/10316/93426-
dc.descriptionSubmitted for Proceedings of the 2021 International Conference on Information Technology & Systems, Libertad city, Ecuadorpt
dc.description.abstractSARS-CoV-2 emerged in late 2019. Since then, it has spread to several countries, becoming classified as a pandemic. So far, there is no definitive treatment or vaccine, so the best solution is to prevent transmission between individuals through social distancing. However, it is difficult to measure the effectiveness of these distance measures. Therefore, this study uses data from Google COVID-19 Community Mobility Reports to try to understand the mobility patterns of the Portuguese population during the COVID-19 pandemic. In this study, the Rt value was modeled for Portugal. Also, the changepoint was calculated for the population mobility patterns. Thus, the change in the mobility pattern was used to understand the impact of social distance measures on the dissemination of COVID-19. As a result, it can be stated that the initial Rt value in Portugal was very close to 3, falling to values close to 1 after 25 days. Social isolation measures were adopted quickly. Furthermore, it was observed that public transport was avoided during the pandemic. Finally, until the emergence of a vaccine or an effective treatment, this is the new normal, and it must be understood that new patterns of mobility, social interaction, and hygiene must be adapted to this reality.pt
dc.description.sponsorshipResearch Center for Territory, Transports and Environment (CITTA)pt
dc.language.isoengpt
dc.publisherMDPIpt
dc.relationResearch Center for Territory, Transports and Environmentpt
dc.rightsopenAccesspt
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt
dc.subjectCOVID-19pt
dc.subjectMobility patternspt
dc.subjectRtpt
dc.subjectChangepointpt
dc.subjectModelingpt
dc.subjectPortugalpt
dc.titleMobility patterns of the Portuguese population during the COVID-19 pandemicpt
dc.typearticlept
degois.publication.firstPage9775pt
degois.publication.issue22pt
degois.publication.titleSustainabilitypt
dc.relation.publisherversionhttps://www.mdpi.com/2071-1050/12/22/9775pt
dc.peerreviewedyespt
dc.identifier.doi10.3390/su12229775-
degois.publication.volume12pt
dc.date.embargo2020-07-02*
dc.identifier.urlhttp://arxiv.org/abs/2007.06506v2-
uc.date.periodoEmbargo0pt
item.grantfulltextopen-
item.languageiso639-1en-
item.fulltextCom Texto completo-
crisitem.author.deptFaculty of Sciences and Technology-
crisitem.author.parentdeptUniversity of Coimbra-
crisitem.author.researchunitCITTA - Research Centre for Territory, Transports and Environment-
crisitem.author.orcid0000-0002-1681-0759-
Appears in Collections:IIIUC - Artigos em Revistas Internacionais
Show simple item record

WEB OF SCIENCETM
Citations

1
checked on May 2, 2021

Page view(s)

44
checked on Apr 23, 2021

Download(s)

3
checked on Apr 23, 2021

Google ScholarTM

Check

Altmetric

Altmetric


This item is licensed under a Creative Commons License Creative Commons